This document discusses inventory management concepts including reorder point, safety stock, economic order quantity (EOQ) models, ABC classification, and quantity discounts. It provides information on inventory control systems, types of inventory, inventory costs, and supply chain management. Various EOQ models are presented including the basic EOQ model and a production quantity model. Examples are provided to illustrate key concepts.
The document discusses various lot sizing techniques used to determine optimal batch sizes for production and purchasing. It describes techniques like economic order quantity (EOQ), fixed order quantity (FOQ), lot-for-lot (LFL), periods of supply (POS), period order quantity (POQ), least unit cost (LUC), least total cost (LTC), and part period balancing (PPB). Examples are provided to illustrate how each technique works and the optimal lot size is calculated. The goal of lot sizing is to minimize total inventory costs by balancing setup/ordering costs and carrying costs.
This document provides an example calculation of a material requirements planning (MRP) problem. It involves a bill of materials structure with multiple levels and items with varying lead times. The MRP calculation determines the planned order releases for each item based on the gross requirements, current inventory levels, and scheduled receipts to satisfy demand over an 8 week planning horizon. Tables show the MRP calculation for each item, listing the gross requirements, scheduled receipts, projected on-hand inventory, net requirements, and planned order receipts and releases by period.
This document outlines key concepts in inventory management. It discusses the different types of inventory including raw materials, work-in-process, and finished goods. It also covers inventory control systems like continuous review and periodic review. The economic order quantity model is presented as a way to determine the optimal order size to minimize total inventory costs. Other topics include safety stock, reorder points, quantity discounts, and ABC classification.
The document provides information to calculate the economic order quantity (EOQ) for inventory management. It lists the annual demand, holding cost, and ordering cost for bird feeders sold in a museum gift shop. The current lot size of 390 units and an alternative of 468 units are evaluated. The total annual cost is calculated for each using the EOQ formula. The EOQ, total cost, and time between orders are then calculated to determine the optimal lot size and ordering frequency.
This document discusses inventory management concepts including independent and dependent demand, types of inventories, functions of inventory, objectives and effective inventory management. It also covers inventory models like the single period model and multiple period models including the fixed order quantity and fixed time period models. Key terms discussed include lead time, holding costs, ordering costs, shortage costs. The ABC classification system for inventory is also explained.
The document discusses an inventory management system. It begins by outlining the objectives of understanding inventory flow and anticipating supply problems. It then describes inventory planning, preparation, and management. It discusses the flow of materials, work in process, and finished goods. It outlines current problems like a lack of proper tracking, consumption reports, and reject lists. Solutions proposed include using requisitions, barcodes, and spreadsheets for improved tracking. Finally, it discusses inventory counting systems, barcodes, and integrating the inventory system with scanning and spreadsheet updates.
This document provides an overview of deterministic and probabilistic inventory models. It discusses the economic order quantity (EOQ) model and sensitivity analysis for deterministic models. For probabilistic models, it covers single-period models with uniform and normal demand distributions and discusses trade-offs around overestimating and underestimating demand. It also introduces multi-period inventory models, including a fixed order quantity model and a fixed time period model. Examples are provided to illustrate how to apply these concepts and calculate optimal order quantities.
Inventory System Defined
Purpose and types of inventory
Independent vs. Dependent Demand
Single-Period Inventory Model
Multi-Period Inventory Models: Basic Fixed-Order Quantity Models
Multi-Period Inventory Models: Basic Fixed-Time Period Model
Miscellaneous Systems and Issues
A-B-C Approach
Inventory costs
The document discusses various lot sizing techniques used to determine optimal batch sizes for production and purchasing. It describes techniques like economic order quantity (EOQ), fixed order quantity (FOQ), lot-for-lot (LFL), periods of supply (POS), period order quantity (POQ), least unit cost (LUC), least total cost (LTC), and part period balancing (PPB). Examples are provided to illustrate how each technique works and the optimal lot size is calculated. The goal of lot sizing is to minimize total inventory costs by balancing setup/ordering costs and carrying costs.
This document provides an example calculation of a material requirements planning (MRP) problem. It involves a bill of materials structure with multiple levels and items with varying lead times. The MRP calculation determines the planned order releases for each item based on the gross requirements, current inventory levels, and scheduled receipts to satisfy demand over an 8 week planning horizon. Tables show the MRP calculation for each item, listing the gross requirements, scheduled receipts, projected on-hand inventory, net requirements, and planned order receipts and releases by period.
This document outlines key concepts in inventory management. It discusses the different types of inventory including raw materials, work-in-process, and finished goods. It also covers inventory control systems like continuous review and periodic review. The economic order quantity model is presented as a way to determine the optimal order size to minimize total inventory costs. Other topics include safety stock, reorder points, quantity discounts, and ABC classification.
The document provides information to calculate the economic order quantity (EOQ) for inventory management. It lists the annual demand, holding cost, and ordering cost for bird feeders sold in a museum gift shop. The current lot size of 390 units and an alternative of 468 units are evaluated. The total annual cost is calculated for each using the EOQ formula. The EOQ, total cost, and time between orders are then calculated to determine the optimal lot size and ordering frequency.
This document discusses inventory management concepts including independent and dependent demand, types of inventories, functions of inventory, objectives and effective inventory management. It also covers inventory models like the single period model and multiple period models including the fixed order quantity and fixed time period models. Key terms discussed include lead time, holding costs, ordering costs, shortage costs. The ABC classification system for inventory is also explained.
The document discusses an inventory management system. It begins by outlining the objectives of understanding inventory flow and anticipating supply problems. It then describes inventory planning, preparation, and management. It discusses the flow of materials, work in process, and finished goods. It outlines current problems like a lack of proper tracking, consumption reports, and reject lists. Solutions proposed include using requisitions, barcodes, and spreadsheets for improved tracking. Finally, it discusses inventory counting systems, barcodes, and integrating the inventory system with scanning and spreadsheet updates.
This document provides an overview of deterministic and probabilistic inventory models. It discusses the economic order quantity (EOQ) model and sensitivity analysis for deterministic models. For probabilistic models, it covers single-period models with uniform and normal demand distributions and discusses trade-offs around overestimating and underestimating demand. It also introduces multi-period inventory models, including a fixed order quantity model and a fixed time period model. Examples are provided to illustrate how to apply these concepts and calculate optimal order quantities.
Inventory System Defined
Purpose and types of inventory
Independent vs. Dependent Demand
Single-Period Inventory Model
Multi-Period Inventory Models: Basic Fixed-Order Quantity Models
Multi-Period Inventory Models: Basic Fixed-Time Period Model
Miscellaneous Systems and Issues
A-B-C Approach
Inventory costs
The document provides an overview of inventory management. It discusses the types of inventories including raw materials, work in progress, and finished goods. It describes the functions of inventory including meeting demand, smoothing production, and protecting against stock-outs. It also discusses inventory performance measures, counting systems, key terms, classification systems, and inventory models including economic order quantity, reorder point, and periodic review systems. The document provides insights into effective inventory management.
The document discusses achieving strategic fit between a company's competitive strategy and supply chain strategy. It describes three key steps: 1) Understanding customer demand uncertainty, 2) Understanding supply chain responsiveness and costs, 3) Ensuring the supply chain capabilities match the customer needs. Expanding strategic scope across functions and partners improves coordination and profitability for all members of the supply chain.
This document discusses the least unit cost heuristic for lot sizing. It begins by explaining that deterministic lot sizing models may not reflect real-world uncertainty in demand. Some heuristic methods like least unit cost can provide lower costs in the long run.
The document then defines the least unit cost heuristic as a dynamic technique that divides the total ordering and inventory carrying costs for a trial lot size by the number of units in that lot to determine the lowest unit cost.
It provides an example calculation using demand data over 10 weeks to illustrate how the least unit cost heuristic determines the optimal lot size by evaluating different values of K, the number of periods in the future that the lot size would cover. The best K is the last
This document discusses inventory models, including the basic economic order quantity (EOQ) model and quantity discounts. It begins by defining inventory and explaining the importance of inventory control. It then covers the basic EOQ model assumptions and formulas for calculating optimal order quantity, expected number of orders per year, time between orders, total cost, and average inventory value. The document also discusses using a reorder point and provides an example calculation. Finally, it introduces quantity discount models, where purchasing larger quantities results in decreased unit costs.
Operations Management II- SCOR is he worldās leading supply chain framework, linking business processes, performance metrics, practices and people skills into a unified structure.
The presentation justifies this tool used in one of the leading furniture brands 'Ikea' and implemented into their process flow.
The document discusses various facility location models and methods for evaluating location alternatives. It describes factors to consider in site selection such as labor costs, proximity to markets and suppliers, infrastructure, and transportation. Location analysis should identify dominant factors, develop location alternatives, and evaluate them using methods like factor rating, load-distance modeling, center of gravity, and break-even analysis. The document provides examples demonstrating how to apply these models to make optimal location decisions.
Forecasting is important for business planning. There are different forecasting techniques that can be used depending on the available data and time horizon. Judgmental forecasting relies on expert opinions when little historical data exists. Time series forecasting analyzes patterns in historical demand data over time. Linear regression finds relationships between dependent and independent variables. Simple and weighted moving averages smooth data by calculating averages over multiple time periods. Exponential smoothing gives more weight to recent periods using a smoothing constant. The document provides examples of how to apply these techniques to calculate forecasts and forecast errors.
The document outlines various inventory management concepts including types of inventory, inventory classification systems, inventory models, and strategies for reducing inventory levels. It discusses direct and indirect inventory, ABC analysis, independent vs dependent demand, economic order quantity models, reorder points, probabilistic models, quantity discounts, fixed period systems, and how implementing just-in-time principles can help lower inventory through reducing lot sizes and setup times.
Dokumen tersebut membahas konsep bunga bank dan rumus-rumus perhitungan bunga seperti suku bunga, jumlah periode, nilai sekarang dan nilai di masa depan. Juga membahas penggunaan tabel bunga dan contoh soal perhitungan bunga bank serta analisis kelayakan investasi menggunakan metode NPV, IRR, rasio benefit cost dan payback period.
This document provides an overview of material requirements planning (MRP) and enterprise resource planning (ERP) systems. It defines key concepts in MRP like the master production schedule, bills of material, lead times, and how the gross requirements and net requirements plans are developed. It also describes how MRP has been expanded to ERP systems to integrate broader business functions like customers, suppliers, and other business processes. The advantages of ERP systems are integration across the supply chain and common databases, while disadvantages include high costs of implementation and customization.
The document discusses production planning and control (PPC). It describes PPC as having three stages: demand forecasting, production planning, and production control. Demand forecasting involves forecasting demand using various time horizons and data sources to determine capacity planning and production requirements. Production planning uses the forecasts to determine aggregate production needs through methods like MRP, CRP, and DRP. Production control then schedules and loads the required production using techniques like Gantt charts. The document provides details on each of these PPC elements.
This document provides an overview of supply chain management concepts. It discusses what a supply chain is, the objective of maximizing overall value, and the three key decision phases of supply chain strategy, planning and operations. It also describes two process views - the cycle view which divides processes between stages and the push/pull view which categorizes processes as reactive to demand or speculative. The goal of supply chain management is to effectively manage flows between stages to maximize total surplus.
The document discusses managing uncertainty in supply chains through the use of safety inventory. It defines safety inventory as inventory carried to satisfy unexpected demand. The appropriate level of safety inventory is determined by the uncertainty in demand and supply as well as the desired level of product availability. Higher safety inventory improves availability but increases holding costs. The document provides formulas and examples for calculating safety inventory levels required to meet a desired cycle service level, fill rate, or both, given factors like demand uncertainty and lead time. Reducing lead time and demand uncertainty can lower the required safety inventory.
This document discusses requirements for designing the process for Pizza USA, a sit-down and take-out pizza restaurant. It provides background on the fast food industry and attributes important to customers and employees. These include accurate and timely delivery, modern packaging and tracking systems. The document outlines inputs, processes, storage and computer systems needed. Challenges of take-out services and considerations for delivery are presented. Process flow charts, Ishikawa diagrams and methods to ensure effective and mistake-proof delivery are discussed.
This document provides an overview of inventory control models and concepts. It discusses the economic order quantity (EOQ) model, which helps determine how much of an item to order to minimize total inventory costs. The EOQ balances ordering costs with carrying costs. The reorder point indicates when to place another order based on lead time and daily usage. Other topics covered include safety stock, material requirements planning, just-in-time inventory, and enterprise resource planning systems. Real-world examples are provided to demonstrate calculating the EOQ.
This document discusses the economic order quantity (EOQ) model. The EOQ model determines the optimal order quantity that minimizes total inventory costs by balancing order processing costs and inventory holding costs. It assumes known demand, lead times, and costs. The formula for economic order quantity is derived and explained. An example application to a coffee maker order at SaveMart is provided to illustrate calculating optimal order quantity and reorder point using EOQ equations. Factors that could impact the EOQ are also listed.
Material Requirement Planning (MRP) is a computerized inventory control and production planning system that determines what items need to be processed, when, and what needs to be manufactured based on order priorities and capacities. It schedules the production of all items using an MRP matrix to track inventory levels and requirements over time. Implementing MRP at Hubbell Lighting improved on-time order completion from less than 75% to 97% by better coordinating production schedules and requirements.
The document provides an overview of processes and technology. It discusses topics such as process planning, analysis, innovation, and technology decisions. Process planning involves converting designs into workable manufacturing instructions. Process analysis involves systematically studying processes to improve efficiency and performance. Process innovation involves redesigning processes for breakthrough improvements. Technology decisions require financial justification when adopting new technologies.
The document provides an overview of scheduling concepts and techniques. It discusses objectives in scheduling like meeting due dates and minimizing lateness. It also covers loading, sequencing, and monitoring. Specific sequencing rules like earliest due date, shortest processing time, and minimum slack are explained. Advanced planning systems, the theory of constraints, and synchronous manufacturing are also summarized. Excel examples are provided to demonstrate Johnson's rule for sequencing jobs through two processes and input/output control charts.
The document provides an overview of inventory management. It discusses the types of inventories including raw materials, work in progress, and finished goods. It describes the functions of inventory including meeting demand, smoothing production, and protecting against stock-outs. It also discusses inventory performance measures, counting systems, key terms, classification systems, and inventory models including economic order quantity, reorder point, and periodic review systems. The document provides insights into effective inventory management.
The document discusses achieving strategic fit between a company's competitive strategy and supply chain strategy. It describes three key steps: 1) Understanding customer demand uncertainty, 2) Understanding supply chain responsiveness and costs, 3) Ensuring the supply chain capabilities match the customer needs. Expanding strategic scope across functions and partners improves coordination and profitability for all members of the supply chain.
This document discusses the least unit cost heuristic for lot sizing. It begins by explaining that deterministic lot sizing models may not reflect real-world uncertainty in demand. Some heuristic methods like least unit cost can provide lower costs in the long run.
The document then defines the least unit cost heuristic as a dynamic technique that divides the total ordering and inventory carrying costs for a trial lot size by the number of units in that lot to determine the lowest unit cost.
It provides an example calculation using demand data over 10 weeks to illustrate how the least unit cost heuristic determines the optimal lot size by evaluating different values of K, the number of periods in the future that the lot size would cover. The best K is the last
This document discusses inventory models, including the basic economic order quantity (EOQ) model and quantity discounts. It begins by defining inventory and explaining the importance of inventory control. It then covers the basic EOQ model assumptions and formulas for calculating optimal order quantity, expected number of orders per year, time between orders, total cost, and average inventory value. The document also discusses using a reorder point and provides an example calculation. Finally, it introduces quantity discount models, where purchasing larger quantities results in decreased unit costs.
Operations Management II- SCOR is he worldās leading supply chain framework, linking business processes, performance metrics, practices and people skills into a unified structure.
The presentation justifies this tool used in one of the leading furniture brands 'Ikea' and implemented into their process flow.
The document discusses various facility location models and methods for evaluating location alternatives. It describes factors to consider in site selection such as labor costs, proximity to markets and suppliers, infrastructure, and transportation. Location analysis should identify dominant factors, develop location alternatives, and evaluate them using methods like factor rating, load-distance modeling, center of gravity, and break-even analysis. The document provides examples demonstrating how to apply these models to make optimal location decisions.
Forecasting is important for business planning. There are different forecasting techniques that can be used depending on the available data and time horizon. Judgmental forecasting relies on expert opinions when little historical data exists. Time series forecasting analyzes patterns in historical demand data over time. Linear regression finds relationships between dependent and independent variables. Simple and weighted moving averages smooth data by calculating averages over multiple time periods. Exponential smoothing gives more weight to recent periods using a smoothing constant. The document provides examples of how to apply these techniques to calculate forecasts and forecast errors.
The document outlines various inventory management concepts including types of inventory, inventory classification systems, inventory models, and strategies for reducing inventory levels. It discusses direct and indirect inventory, ABC analysis, independent vs dependent demand, economic order quantity models, reorder points, probabilistic models, quantity discounts, fixed period systems, and how implementing just-in-time principles can help lower inventory through reducing lot sizes and setup times.
Dokumen tersebut membahas konsep bunga bank dan rumus-rumus perhitungan bunga seperti suku bunga, jumlah periode, nilai sekarang dan nilai di masa depan. Juga membahas penggunaan tabel bunga dan contoh soal perhitungan bunga bank serta analisis kelayakan investasi menggunakan metode NPV, IRR, rasio benefit cost dan payback period.
This document provides an overview of material requirements planning (MRP) and enterprise resource planning (ERP) systems. It defines key concepts in MRP like the master production schedule, bills of material, lead times, and how the gross requirements and net requirements plans are developed. It also describes how MRP has been expanded to ERP systems to integrate broader business functions like customers, suppliers, and other business processes. The advantages of ERP systems are integration across the supply chain and common databases, while disadvantages include high costs of implementation and customization.
The document discusses production planning and control (PPC). It describes PPC as having three stages: demand forecasting, production planning, and production control. Demand forecasting involves forecasting demand using various time horizons and data sources to determine capacity planning and production requirements. Production planning uses the forecasts to determine aggregate production needs through methods like MRP, CRP, and DRP. Production control then schedules and loads the required production using techniques like Gantt charts. The document provides details on each of these PPC elements.
This document provides an overview of supply chain management concepts. It discusses what a supply chain is, the objective of maximizing overall value, and the three key decision phases of supply chain strategy, planning and operations. It also describes two process views - the cycle view which divides processes between stages and the push/pull view which categorizes processes as reactive to demand or speculative. The goal of supply chain management is to effectively manage flows between stages to maximize total surplus.
The document discusses managing uncertainty in supply chains through the use of safety inventory. It defines safety inventory as inventory carried to satisfy unexpected demand. The appropriate level of safety inventory is determined by the uncertainty in demand and supply as well as the desired level of product availability. Higher safety inventory improves availability but increases holding costs. The document provides formulas and examples for calculating safety inventory levels required to meet a desired cycle service level, fill rate, or both, given factors like demand uncertainty and lead time. Reducing lead time and demand uncertainty can lower the required safety inventory.
This document discusses requirements for designing the process for Pizza USA, a sit-down and take-out pizza restaurant. It provides background on the fast food industry and attributes important to customers and employees. These include accurate and timely delivery, modern packaging and tracking systems. The document outlines inputs, processes, storage and computer systems needed. Challenges of take-out services and considerations for delivery are presented. Process flow charts, Ishikawa diagrams and methods to ensure effective and mistake-proof delivery are discussed.
This document provides an overview of inventory control models and concepts. It discusses the economic order quantity (EOQ) model, which helps determine how much of an item to order to minimize total inventory costs. The EOQ balances ordering costs with carrying costs. The reorder point indicates when to place another order based on lead time and daily usage. Other topics covered include safety stock, material requirements planning, just-in-time inventory, and enterprise resource planning systems. Real-world examples are provided to demonstrate calculating the EOQ.
This document discusses the economic order quantity (EOQ) model. The EOQ model determines the optimal order quantity that minimizes total inventory costs by balancing order processing costs and inventory holding costs. It assumes known demand, lead times, and costs. The formula for economic order quantity is derived and explained. An example application to a coffee maker order at SaveMart is provided to illustrate calculating optimal order quantity and reorder point using EOQ equations. Factors that could impact the EOQ are also listed.
Material Requirement Planning (MRP) is a computerized inventory control and production planning system that determines what items need to be processed, when, and what needs to be manufactured based on order priorities and capacities. It schedules the production of all items using an MRP matrix to track inventory levels and requirements over time. Implementing MRP at Hubbell Lighting improved on-time order completion from less than 75% to 97% by better coordinating production schedules and requirements.
The document provides an overview of processes and technology. It discusses topics such as process planning, analysis, innovation, and technology decisions. Process planning involves converting designs into workable manufacturing instructions. Process analysis involves systematically studying processes to improve efficiency and performance. Process innovation involves redesigning processes for breakthrough improvements. Technology decisions require financial justification when adopting new technologies.
The document provides an overview of scheduling concepts and techniques. It discusses objectives in scheduling like meeting due dates and minimizing lateness. It also covers loading, sequencing, and monitoring. Specific sequencing rules like earliest due date, shortest processing time, and minimum slack are explained. Advanced planning systems, the theory of constraints, and synchronous manufacturing are also summarized. Excel examples are provided to demonstrate Johnson's rule for sequencing jobs through two processes and input/output control charts.
This document discusses key aspects of project management including project planning, scheduling, control, and the critical path method (CPM). It covers topics such as work breakdown structures, Gantt charts, PERT diagrams, critical paths, and activity start times. Examples are provided to illustrate work breakdown structures, Gantt charts, project networks, and calculating the critical path of a project.
This document discusses operational decision-making tools such as simulation. It covers Monte Carlo simulation, using computer simulation in Excel, and areas where simulation is applied, such as inventory management, production systems, and service operations. Simulation allows modeling of probabilistic problems and complex systems to analyze them without having to implement changes physically.
This document outlines key aspects of the product design process discussed in Chapter 4. It covers the design process, rapid prototyping and concurrent design, using technology like CAD in design, design reviews, designing for the environment and quality, and quality function deployment. The goal of the design process is to match products to customer needs in the simplest way. Rapid prototyping, concurrent design, and using technology can help test and refine designs. Reviews ensure quality and identify issues. Designing for quality and the environment are also important considerations.
The document discusses factors to consider when selecting facility locations and techniques for analyzing location options. It describes three main types of facilities - heavy manufacturing, light industry, and retail/service - and key factors for each, such as construction costs, land costs, transportation access. It also outlines global supply chain factors and techniques to evaluate locations, including using ratings of important criteria, calculating the center of gravity of shipments, and minimizing the load times distance. Geographic Information Systems and software tools can assist with location analysis.
This document provides an overview of material requirements planning (MRP). It discusses the key inputs and outputs to the MRP process, including the master production schedule, bill of materials, and item master file. It also provides examples to illustrate how MRP works by calculating gross requirements, scheduled receipts, projected inventory, net requirements, and planned order releases over multiple time periods for different items. The goal of MRP is to determine the timing and quantities of orders needed to satisfy production requirements.
This document discusses forecasting methods in supply chain management. It covers time series forecasting techniques like moving averages, exponential smoothing, and linear trend lines. It also discusses qualitative forecasting methods and the components of an effective forecasting process. Accurate forecasting is important for supply chain management to determine inventory levels and reduce costs while ensuring customer needs are met. Time series and regression quantitative methods use historical data to predict future demand trends and patterns.
This document provides an overview of quality management concepts. It discusses definitions of quality, dimensions of quality for manufactured products and services, evolution of quality management thinking with contributions from quality gurus like Deming and Juran, quality tools like flow charts and control charts, total quality management (TQM), quality management systems (QMS), customer focus in quality management, employee roles in quality improvement, quality in services, Six Sigma and Lean Six Sigma approaches, and the impact of quality on profitability.
This document provides an overview and outline of an operations and supply chain management textbook. It introduces key concepts like operations management, transformation processes, and the evolution of the field. It also outlines the textbook's structure, which covers topics such as quality management, forecasting, inventory management, and lean systems. The overall goal is to help students understand the strategic importance of operations and supply chains and develop skills for continuous improvement.
The reorder point is the inventory level that triggers an order to replenish stock. It is calculated as the forecast usage during lead time plus a safety stock amount. The reorder point helps ensure there is enough inventory to meet demand until the replenishment order is received. It does not determine how much to order, only when to order. Factors like demand variability and acceptable stockout risk impact reorder point calculations.
The document discusses the economic order quantity (EOQ) model, which aims to minimize total inventory costs by determining the optimal order quantity. It defines EOQ as the order quantity that balances ordering costs and carrying costs. The key assumptions of the EOQ model are constant demand, lead time, and costs. The document presents the mathematical formula for calculating EOQ and provides an example calculation. It also describes two EOQ models: the 'Q' model with fixed reorder quantities and the 'P' model with periodic reviews and orders.
A key element of creating a Visual Workplace is being able to identify abnormal from normal situations. In this Single Point Lesson team members organized a work cell, identified the items in the work cell and used flags to signal a reorder request to a material handler driving by. Wastes reduced: Transportation, Inventory, Motion and Waiting.
Visual Mangement & Safety in the WorkplaceRhonda Kovera
Ā
The document discusses the importance of visual management and safety in the workplace. It argues that 83% of what we learn is visual and that a safe workplace is a visual workplace. It then provides a roadmap for creating a visual workplace that includes organizing the workplace, setting standards, measuring performance, and continually improving. A key part of the roadmap is developing a safety roadmap that identifies missing safety information and addresses areas like first aid, emergency response, safety metrics, lock-out/tag-out procedures, personal protective equipment, maintenance, and hazardous materials. The overall goal is to use visual cues to direct behavior, eliminate risks, and reduce workplace injuries.
This presentation explains about the Operations Management concept Reorder point, different cases with examples, fixed order interval model, single period model etc.
Analysis of an economic order quantity and reorder point inventorDivyesh Solanki
Ā
This document analyzes an economic order quantity and reorder point inventory control model for Company XYZ. It begins with an abstract that summarizes the project. The introduction then discusses the topic of recommending this model for the company to address ineffective forecasting that has led to stock outs. A literature review covers the history of economic order quantity and reorder points. The document outlines the project's design, methodology, results, and conclusions. It recommends implementing the inventory control model to reduce costs and stock outs for Company XYZ.
The document discusses various topics related to materials management and inventory control. It defines key inventory terms like raw materials, work-in-process inventory, finished goods, and more. It describes the functions and types of inventory as well as costs associated with inventory like holding costs. The document also covers inventory management techniques like ABC analysis for classifying inventory items and cycle counting to periodically count inventory levels.
The document discusses various resource procurement and inventory management strategies including economic order quantity (EOQ), ABC classification, just-in-time (JIT) purchasing and production, and features of a JIT system. EOQ models are used to determine optimal order quantities to minimize total inventory costs. ABC analysis classifies inventory items into A, B, and C categories based on monetary value and usage to prioritize control efforts. JIT aims to reduce inventory costs by procuring materials and producing goods only as needed to fulfill customer demand.
An inventory system monitors inventory levels and determines replenishment policies. There are different inventory models like economic order quantity (EOQ) that aim to minimize total costs. EOQ assumes constant demand and calculates an optimal order quantity. Inventory can be reviewed continuously or periodically. Dependent demand models like MRP are used when demand for one item depends on demand for another.
The document discusses various inventory management techniques. It describes different inventory classifications like ABC analysis which categorizes inventory into A, B and C categories based on value and usage. It also discusses inventory models like the economic order quantity model which determines the optimal order size balancing setup costs and carrying costs. Finally, it covers inventory strategies like vendor managed inventory where suppliers manage inventory levels at customer sites.
Addressing Anaerobic Digestion financial issuesIona Capital
Ā
Michael Dunn - Director, Iona Capital
Michael is a Director with Iona Capital, a private equity company that manages retail and institutional funds targeting the energy from waste sector and specifically seeks to invest in anaerobic digestion projects that require external funding. Iona Capital has recently completed a Ā£6m investment, with Biogen Ltd as the operating partner, in an SPV co-owned with Biogen Ltd. He has held senior level positions with Shanks Group , Veolia Group and Amey Group. He currently holds a variety of sector-related non executive director roles including sitting on London Waste Ltd's board. He has a Masters in Finance degree from the London Business School.
This presentation was given on 27 September, 2012 at "Anaerobic Digestion: Accelerating the Rollout" event
This document discusses inventory management concepts. It begins with an outline of topics covered, including elements of inventory management, inventory control systems, economic order quantity models, quantity discounts, reorder points, and order quantities for periodic inventory systems. It then defines inventory and discusses the purpose of inventory management. It also covers inventory types, the relationship between inventory and supply chain management, different forms of demand, inventory costs, inventory control systems, ABC classification, economic order quantity models, production quantity models, quantity discounts, and reorder points.
This document discusses technical debt in software development. It defines technical debt as deferred work that accumulates when high quality standards are not maintained. Technical debt can occur when teams cut corners to meet deadlines or as code complexity increases over time. It leads to problems like inability to change systems quickly, over-reliance on a few developers, and defects being introduced. The document recommends practices like continuous integration, test-driven development, and refactoring to avoid technical debt and strategies like paying off highest interest debt first to manage existing debt.
For those new to the Salesforce Platform, weāll get you up and building cloud apps quickly by introducing you to the basics of the platform with step-by-step hands-on tutorials. Youāll be able to create an app with point-and-click development and then see how you go a little further with Apex Code and Visualforce.
1) Eletropaulo reported higher revenues and profits in 1Q10 compared to 1Q09, with electricity consumption and collection rates up.
2) Operational indicators like losses and outage times were affected by heavy rainfall in 1Q10.
3) Investments in expanding and improving the electricity distribution system continued in 1Q10.
Eletropaulo reported higher operational and financial results in 1Q10 compared to 1Q09. Key highlights include a 5.2% increase in captive market consumption, lower commercial losses, and a 6.8% increase in net income. Cash generation was 113% higher due to consumption growth and a tariff readjustment. Standard & Poor's raised Eletropaulo's credit ratings. The company issued R$800 million in debentures to refinance debt and fund investments. Overall, 1Q10 results showed improved performance driven by higher consumption and tariff increases.
Eletropaulo 1 q10_eng_final [modo de compatibilidade]AES Eletropaulo
Ā
Eletropaulo reported higher operational and financial results in 1Q10 compared to 1Q09. Key highlights include a 5.2% increase in captive market consumption, lower commercial losses, and a 6.8% increase in net income. Cash generation was 113% higher due to consumption growth and a tariff readjustment. Investments totaled R$46 million focused on expanding the system and customer service. Eletropaulo also issued R$800 million in debentures to refinance debt and fund investments.
This document summarizes the business model and growth strategy of Caveo Corporation, an integrated security and facility management firm. Caveo offers clients a subscription-based model where it owns the equipment and provides maintenance, rather than requiring large upfront capital investments. This simplifies technology and reduces client maintenance costs. The document outlines Caveo's plans to expand through regional growth and new partnership programs. It projects continued exponential growth in contract portfolio value and revenue through 2015. Caveo is raising $500,000 in equity to hire key talent and prove processes to seamlessly scale operations.
This document discusses inventory management, supply contracts, and risk pooling. It addresses issues like inventory management policies, demand uncertainty, centralized vs decentralized systems, and practical inventory management challenges. It provides an example of calculating optimal order quantity using the economic order quantity model and discusses how demand uncertainty, initial inventory levels, and supply contracts can impact profits. Supply contracts that include a buy-back agreement can increase profits for both manufacturers and distributors by better managing risks from demand uncertainty.
The document summarizes the 2010 results for an energy company. Key points include:
1) Energy consumption was higher than 2009, with losses decreasing. Investments increased 32% to R$682 million.
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When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
2. Lecture Outline
ā¢ Elements of Inventory Management
ā¢ Inventory Control Systems
ā¢ Economic Order Quantity Models
ā¢ Quantity Discounts
ā¢ Reorder Point
ā¢ Order Quantity for a Periodic Inventory System
Copyright 2011 John Wiley & Sons, Inc. 13-2
3. What Is Inventory?
ā¢ Stock of items kept to meet future demand
ā¢ Purpose of inventory management
ā¢ how many units to order
ā¢ when to order
Copyright 2011 John Wiley & Sons, Inc. 13-3
4. Supply Chain Management
ā¢ Bullwhip effect
ā¢ demand information is distorted as it moves away
from the end-use customer
ā¢ higher safety stock inventories to are stored to
compensate
ā¢ Seasonal or cyclical demand
ā¢ Inventory provides independence from vendors
ā¢ Take advantage of price discounts
ā¢ Inventory provides independence between
stages and avoids work stoppages
Copyright 2011 John Wiley & Sons, Inc. 13-4
5. Quality Management in the Supply Chain
ā¢ Customers usually perceive quality service as
availability of goods they want when they want
them
ā¢ Inventory must be sufficient to provide high-
quality customer service in QM
Copyright 2011 John Wiley & Sons, Inc. 13-5
6. Types of Inventory
ā¢ Raw materials
ā¢ Purchased parts and supplies
ā¢ Work-in-process (partially completed) products
(WIP)
ā¢ Items being transported
ā¢ Tools and equipment
Copyright 2011 John Wiley & Sons, Inc. 13-6
7. Two Forms of Demand
ā¢ Dependent
ā¢ Demand for items used to produce final
products
ā¢ Tires for autos are a dependent demand item
ā¢ Independent
ā¢ Demand for items used by external customers
ā¢ Cars, appliances, computers, and houses are
examples of independent demand inventory
Copyright 2011 John Wiley & Sons, Inc. 13-7
8. Inventory Costs
ā¢ Carrying cost
ā¢ cost of holding an item in inventory
ā¢ Ordering cost
ā¢ cost of replenishing inventory
ā¢ Shortage cost
ā¢ temporary or permanent loss of sales when
demand cannot be met
Copyright 2011 John Wiley & Sons, Inc. 13-8
9. Inventory Control Systems
ā¢ Continuous system (fixed-order-quantity)
ā¢ constant amount ordered when inventory declines to
predetermined level
ā¢ Periodic system (fixed-time-period)
ā¢ order placed for variable amount after fixed passage
of time
Copyright 2011 John Wiley & Sons, Inc. 13-9
10. ABC Classification
ā¢ Class A
ā¢ 5 ā 15 % of units
ā¢ 70 ā 80 % of value
ā¢ Class B
ā¢ 30 % of units
ā¢ 15 % of value
ā¢ Class C
ā¢ 50 ā 60 % of units
ā¢ 5 ā 10 % of value
Copyright 2011 John Wiley & Sons, Inc. 13-10
12. ABC Classification
TOTAL % OF TOTAL % OF TOTAL
PART VALUE VALUE QUANTITY % CUMMULATIVE
9 $30,600 35.9 6.0 6.0
8 16,000 18.7 5.0 11.0
2 14,000 16.4 4.0
A 15.0
1 5,400 6.3 9.0 24.0
4 4,800 5.6 6.0 B 30.0
3 3,900 4.6 10.0 40.0
6 3,600 4.2 18.0 58.0
5 3,000 3.5 13.0 71.0
10 2,400 2.8 12.0 C 83.0
7 1,700 2.0 17.0 100.0
$85,400
Example 10.1
Copyright 2011 John Wiley & Sons, Inc. 13-12
13. ABC Classification
% OF TOTAL % OF TOTAL
CLASS ITEMS VALUE QUANTITY
A 9, 8, 2 71.0 15.0
B 1, 4, 3 16.5 25.0
C 6, 5, 10, 7 12.5 60.0
Example 10.1
Copyright 2011 John Wiley & Sons, Inc. 13-13
14. Economic Order Quantity
(EOQ) Models
ā¢ EOQ
ā¢ optimal order quantity that will minimize
total inventory costs
ā¢ Basic EOQ model
ā¢ Production quantity model
Copyright 2011 John Wiley & Sons, Inc. 13-14
15. Assumptions of Basic EOQ Model
ā¢ Demand is known with certainty and is constant
over time
ā¢ No shortages are allowed
ā¢ Lead time for the receipt of orders is constant
ā¢ Order quantity is received all at once
Copyright 2011 John Wiley & Sons, Inc. 13-15
16. Inventory Order Cycle
Order quantity, Q
Demand Average
rate inventory
Inventory Level
Q
2
Reorder point, R
0 Lead Lead Time
time time
Order Order Order Order
placed receipt placed receipt
Copyright 2011 John Wiley & Sons, Inc. 13-16
17. EOQ Cost Model
Co - cost of placing order D - annual demand
Cc - annual per-unit carrying cost Q - order quantity
Co D
Annual ordering cost =
Q
CcQ
Annual carrying cost =
2
CoD CcQ
Total cost = +
Q 2
Copyright 2011 John Wiley & Sons, Inc. 13-17
18. EOQ Cost Model
Deriving Qopt Proving equality of
costs at optimal point
CoD CcQ
TC = +
Q 2 CoD CcQ
=
TC CoD Cc Q 2
= ā Q2 +
Q 2
2CoD
C0D Cc Q2 =
Cc
0 = ā Q2 +
2
2CoD
2CoD Qopt =
Qopt = Cc
Cc
Copyright 2011 John Wiley & Sons, Inc. 13-18
19. EOQ Cost Model
Annual
cost ($) Total Cost
Slope = 0
CcQ
Minimum Carrying Cost =
2
total cost
CoD
Ordering Cost = Q
Optimal order Order Quantity, Q
Qopt
Copyright 2011 John Wiley & Sons, Inc. 13-19
20. EOQ Example
Cc = $0.75 per gallon Co = $150 D = 10,000 gallons
2CoD CoD CcQ
Qopt = TCmin = +
Cc Q 2
2(150)(10,000) (150)(10,000) (0.75)(2,000)
Qopt = (0.75) TCmin = 2,000 + 2
Qopt = 2,000 gallons TCmin = $750 + $750 = $1,500
Orders per year = D/Qopt Order cycle time = 311 days/(D/Qopt)
= 10,000/2,000 = 311/5
= 5 orders/year = 62.2 store days
Copyright 2011 John Wiley & Sons, Inc. 13-20
21. Production Quantity Model
ā¢ Order is received gradually, as inventory is
simultaneously being depleted
ā¢ AKA non-instantaneous receipt model
ā¢ assumption that Q is received all at once is relaxed
ā¢ p - daily rate at which an order is received over
time, a.k.a. production rate
ā¢ d - daily rate at which inventory is demanded
Copyright 2011 John Wiley & Sons, Inc. 13-21
22. Production Quantity Model
Inventory
level
Maximum
Q(1-d/p) inventory
level
Average
Q inventory
(1-d/p)
2 level
0
Begin End Time
order order
Order
receipt receipt
receipt period
Copyright 2011 John Wiley & Sons, Inc. 13-22
23. Production Quantity Model
p = production rate d = demand rate
Maximum inventory level = Q - Q d
p
=Q1- d 2CoD
p
Qopt = d
Q d Cc 1 -
Average inventory level = 1- p
2 p
CoD CcQ d
TC = Q + 2 1 - p
Copyright 2011 John Wiley & Sons, Inc. 13-23
24. Production Quantity Model
Cc = $0.75 per gallon Co = $150 D = 10,000 gallons
d = 10,000/311 = 32.2 gallons per day p = 150 gallons per day
2CoD 2(150)(10,000)
Qopt = = = 2,256.8 gallons
Cc 1 - d 0.75 1 -
32.2
p 150
CoD CcQ d
TC = Q + 2 1 - p = $1,329
Q 2,256.8
Production run = = = 15.05 days per order
p 150
Copyright 2011 John Wiley & Sons, Inc. 13-24
25. Production Quantity Model
D 10,000
Number of production runs = = = 4.43 runs/year
Q 2,256.8
d 32.2
Maximum inventory level = Q 1 - = 2,256.8 1 -
p 150
= 1,772 gallons
Copyright 2011 John Wiley & Sons, Inc. 13-25
26. Solution of EOQ Models With Excel
The optimal order
size, Q, in cell D8
Copyright 2011 John Wiley & Sons, Inc. 13-26
27. Solution of EOQ Models With Excel
The formula for Q
in cell D10
=(D4*D5/D10)+(D3*D10/2)*(1-(D7/D8))
=D10*(1-(D7/D8))
Copyright 2011 John Wiley & Sons, Inc. 13-27
28. Solution of EOQ Models With OM Tools
Copyright 2011 John Wiley & Sons, Inc. 13-28
29. Quantity Discounts
Price per unit decreases as order
quantity increases
CoD CcQ
TC = + + PD
Q 2
where
P = per unit price of the item
D = annual demand
Copyright 2011 John Wiley & Sons, Inc. 13-29
31. Quantity Discount
QUANTITY PRICE
Co = $2,500
1 - 49 $1,400 Cc = $190 per TV
50 - 89 1,100 D = 200 TVs per year
90+ 900
2CoD 2(2500)(200)
Qopt = = = 72.5 TVs
Cc 190
For Q = 72.5 CoD CcQopt
TC = + 2 + PD = $233,784
Qopt
For Q = 90 Co D CcQ
TC = + 2 + PD = $194,105
Q
Copyright 2011 John Wiley & Sons, Inc. 13-31
32. Quantity Discount Model With Excel
=IF(D10>B10,D10,B10) =(D4*D5/E10)+(D3*E10/2)+C10*D5
Copyright 2011 John Wiley & Sons, Inc. 13-32
33. Reorder Point
ā¢ Inventory level at which a new order is placed
R = dL
where
d = demand rate per period
L = lead time
Copyright 2011 John Wiley & Sons, Inc. 13-33
34. Reorder Point
Demand = 10,000 gallons/year
Store open 311 days/year
Daily demand = 10,000 / 311 = 32.154
gallons/day
Lead time = L = 10 days
R = dL = (32.154)(10) = 321.54 gallons
Copyright 2011 John Wiley & Sons, Inc. 13-34
35. Safety Stock
ā¢ Safety stock
ā¢ buffer added to on hand inventory during lead time
ā¢ Stockout
ā¢ an inventory shortage
ā¢ Service level
ā¢ probability that the inventory available during lead
time will meet demand
ā¢ P(Demand during lead time <= Reorder Point)
Copyright 2011 John Wiley & Sons, Inc. 13-35
36. Variable Demand With Reorder Point
Q
Inventory level
Reorder
point, R
0
LT LT
Time
Copyright 2011 John Wiley & Sons, Inc. 13-36
37. Reorder Point With Safety Stock
Inventory level
Q
Reorder
point, R
Safety Stock
0
LT LT
Time
Copyright 2011 John Wiley & Sons, Inc. 13-37
38. Reorder Point With Variable Demand
R = dL + z d L
where
d = average daily demand
L = lead time
d = the standard deviation of daily demand
z = number of standard deviations
corresponding to the service level
probability
z d L = safety stock
Copyright 2011 John Wiley & Sons, Inc. 13-38
39. Reorder Point For a Service Level
Probability of
meeting demand during
lead time = service level
Probability of
a stockout
Safety stock
z d L
dL R
Demand
Copyright 2011 John Wiley & Sons, Inc. 13-39
40. Reorder Point For Variable Demand
The paint store wants a reorder point with a 95%
service level and a 5% stockout probability
d = 30 gallons per day
L = 10 days
d = 5 gallons per day
For a 95% service level, z = 1.65
R = dL + z d L Safety stock = z d L
= 30(10) + (1.65)(5)( 10) = (1.65)(5)( 10)
= 326.1 gallons = 26.1 gallons
Copyright 2011 John Wiley & Sons, Inc. 13-40
41. Determining Reorder Point with Excel
The reorder point
formula in cell E7
Copyright 2011 John Wiley & Sons, Inc. 13-41
42. Order Quantity for a
Periodic Inventory System
Q = d(tb + L) + z d tb + L - I
where
d = average demand rate
tb = the fixed time between orders
L = lead time
d = standard deviation of demand
z d tb + L = safety stock
I = inventory level
Copyright 2011 John Wiley & Sons, Inc. 13-42
44. Fixed-Period Model With
Variable Demand
d = 6 packages per day
d = 1.2 packages
tb = 60 days
L = 5 days
I = 8 packages
z = 1.65 (for a 95% service level)
Q = d(tb + L) + z d tb + L - I
= (6)(60 + 5) + (1.65)(1.2) 60 + 5 - 8
= 397.96 packages
Copyright 2011 John Wiley & Sons, Inc. 13-44
45. Fixed-Period Model with Excel
Formula for order
size, Q, in cell D10
Copyright 2011 John Wiley & Sons, Inc. 13-45
46. Copyright 2011 John Wiley & Sons, Inc.
All rights reserved. Reproduction or translation of this
work beyond that permitted in section 117 of the 1976
United States Copyright Act without express permission
of the copyright owner is unlawful. Request for further
information should be addressed to the Permission
Department, John Wiley & Sons, Inc. The purchaser
may make back-up copies for his/her own use only and
not for distribution or resale. The Publisher assumes no
responsibility for errors, omissions, or damages caused
by the use of these programs or from the use of the
information herein.
Copyright 2011 John Wiley & Sons, Inc. 13-46