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PRESENTATION
TITLE
Mirjam Nilsson​
AGENDA
Introduction​
Primary goals
​Areas of growth
Timeline
​Summary​
INTRODUCTION
At Contoso, we empower organizations to foster collaborative thinking to
further drive workplace innovation. By closing the loop and leveraging agile
frameworks, we help business grow organically and foster a consumer-first
mindset.
Presentation title 3
PRIMARY GOALS
Annual revenue growth
Presentation title 5
• To meet the frequent transportation requirements between distributed manufacturing services (MSs),
logistics services (LSs) have played an essential role in cloud manufacturing. However, previous
studies on service scheduling focused on MSs and simply treated the logistics process as a linear
relationship with distance. In fact, the resulting scheduling scheme for MSs is prone to deterioration
in practical implementation when the dynamic nature of LSs is neglected. Therefore, this paper
presents a multi-objective model for dual-service integrated scheduling of manufacturing and
logistics (DISML) and proposes an improved non-dominated sorting genetic algorithm-II (INSGA-II)
to solve it. The integration of manufacturing and logistics processes introduces complex constraints,
making it challenging to properly represent the solution. To address this challenge, a novel
threelayer encoding approach is designed and its feasibility is demonstrated through directed
graphs. Additionally, several problem-dependent heuristics are developed to enhance solving
efficiency. Experimental results show that INSGA-II outperforms other algorithms in terms of IGD
and C metric in 96% and 83% of instances, respectively. The results also demonstrate the
advantages of the DISML mode over the decentralized scheduling mode in terms of solution quality
and efficiency. Our proposed model and the results presented here provide managers with a new
tool to help them schedule MSs and LSs more effectively, thereby improving production efficiency,
reducing costs and unexpected delays in execution.
THANK YOU
Mirjam Nilsson​
mirjam@contoso.com
www.contoso.com

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cloud.pptx

  • 2. AGENDA Introduction​ Primary goals ​Areas of growth Timeline ​Summary​
  • 3. INTRODUCTION At Contoso, we empower organizations to foster collaborative thinking to further drive workplace innovation. By closing the loop and leveraging agile frameworks, we help business grow organically and foster a consumer-first mindset. Presentation title 3
  • 5. Presentation title 5 • To meet the frequent transportation requirements between distributed manufacturing services (MSs), logistics services (LSs) have played an essential role in cloud manufacturing. However, previous studies on service scheduling focused on MSs and simply treated the logistics process as a linear relationship with distance. In fact, the resulting scheduling scheme for MSs is prone to deterioration in practical implementation when the dynamic nature of LSs is neglected. Therefore, this paper presents a multi-objective model for dual-service integrated scheduling of manufacturing and logistics (DISML) and proposes an improved non-dominated sorting genetic algorithm-II (INSGA-II) to solve it. The integration of manufacturing and logistics processes introduces complex constraints, making it challenging to properly represent the solution. To address this challenge, a novel threelayer encoding approach is designed and its feasibility is demonstrated through directed graphs. Additionally, several problem-dependent heuristics are developed to enhance solving efficiency. Experimental results show that INSGA-II outperforms other algorithms in terms of IGD and C metric in 96% and 83% of instances, respectively. The results also demonstrate the advantages of the DISML mode over the decentralized scheduling mode in terms of solution quality and efficiency. Our proposed model and the results presented here provide managers with a new tool to help them schedule MSs and LSs more effectively, thereby improving production efficiency, reducing costs and unexpected delays in execution.