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International Journal of Engineering Research and Development
e-ISSN : 2278-067X, p-ISSN : 2278-800X, www.ijerd.com
Volume 2, Issue 8 (August 2012), PP. 33-39


   Investigation on Supply Chain Activities in the Manufacturing
               Sector of Southern and Western India
                                     S.S.Hebbal1, Bheemasain kulkarni2,
                  1,2
                        Department of Mechanical Engineering, P.D.A. Engineering College, Gulbarga India



Abstract––Supply Chain Management emerged as one of the most powerful business improvement tool available today. A
number of SCM practices such as supplier, customer, ERP, subcontracting, E-procurement, EDI, E-commerce have been
addressed in Indian manufacturing industries and a conceptual model was formulated based on previous literature and a
questionnaire developed, survey was performed. This paper examines the effect of Supply Chain Management Strategies
and its information system packages that are following in various manufacturing industries. Primary Data from
manufacturing industry of various fields like Automotive, Sugar, Cement, Steel etc…were collected through interview
and mail survey. The content of reply and reliability are tested. Analysis has been carried out based upon questionnaire
results and suitable hypothesis developed. The survey and analysis proves that the Supply Chain Management Strategies
and custom-made packages are significantly useful to the manufacturing firms.

Keywords—Supply Chain strategies, questionnaire, custom-made packages, ready-made packages, lead time, delayed
orders.

                                             I.         INTRODUCTION
          Defination of supply chain management:- A supply chain can be defined as a „connected series of activities which
is concerned with planning, coordinating and controlling materials, parts and finished goods from supplier to customer‟.
          Supply chain management (SCM) is concerned with the flow of products and information between supply chain
members' organizations. Recent development in technologies enables the organization to avail information easily in their
premises. These technologies are helpful to coordinates the activities to manage the supply chain. The cost of information is
decreased due to the increasing rate of technologies. In the integrated supply chain model (Fig.1) bi-directional arrow reflect
the accommodation of reverse materials and information feedback flows. Manager needs to understand that information
technology is more than just computers. Except computer data recognition equipment, communication technologies, factory
automation and other hardware and services are included.

1.1Stages in Supply Chain Management




                                      Fig 1 Stages in Supply Chain Management

          In above mentioned every stages purchasing function needs, purchasing between suppliers and purchasing,
purchasing between Production, Production between distributors and distributors between Customers. The information‟s
sharing and communication between the above mentioned departments plays vital role in industry. Fig shows bi-direction
information flows between every stage to keep on Supply Chain Management effectively.

1.2 Effect of Information technology on supply chain management
          Information technology (IT) consists of a collection of IT resources that are shared and used by a firm. It consists
of both the technical and organizational capabilities that provide the opportunities to share IT resources with and across the
firm. In addition to this, the progress of web technologies for innovations in the supply chain mainly focuses on helping the
decision makers develop and manage customer relationships by professionally integrating applications, and allowing for
collaboration between trading partners in real-time [11].



                                                             33
Investigation on Supply Chain Activities in the Manufacturing Sector of Southern and Western India

                                                II.          OBJECTIVES
         The main objective of the study is to examine the benefits gained by the industries by implementing SCM.
         To highlight the differences between non SCM industries and SCM industries.
         To show IT and its tools are enabler of SCM.
         Importance of IT applications with respect to SCM.

                            III.           DEVELOPMENT OF QUESTIONNAIRE
3.1 VARIOUS IT TOOLS IN SCM [4].
       BAR CODING
       DECISION SUPPORT SYSTEM
       EDI
       E-PROCUREMENT
       ELECTRONIC COMMERCE
       ERP
       INFORMATION SYSTEMS
       MRP
       WAREHOUSE MANAGEMENT SYSTEMS
       VERTICAL INTEGRATION

          Based on the literature a questionnaire was designed. The questionnaire has been developed on a five point Likert
scale. Various issues of Supply Chain Management have been incorporated related Indian manufacturing industries. The
questionnaire contains 10 major questions, in that question no 4 contains 11 SCM strategies like partnership with suppliers
and customers, E-procurement, subcontracting, use of external consultants etc… question no 5 pertaining to various
information technology tools and its system of packages that the company currently following to support SCM, like MRP,
MRPII, ERP, WMS, APS, JIT with its system packages like custom- made or ready-made packages. Same questions repeats
in question no 6 taking into consideration of employ opinion, so what type of system they prefer for SCM. The question no
10 pertains 2 criteria with respect to IT application to SCM.

3.2 Target Industries for Survey
          Eight sectors from the Indian manufacturing industry were selected for the administration of the questionnaire.
These are: (i) Automotive (ii) Cement (iii) Electronic parts manufacturing (iv) Steel (v) Sugar (vi) Tool/machinery parts (vii)
Textile (viii) Pharmaceutical.

                                    IV.          RESEARCH METHODOLOGY
4.1 Survey administration
          The survey is based on data collected by framing a questionnaire. Final version of the questionnaire sent to the
various manufacturing industries. The list of industries was drawn for data collection by Indian industries directory and some
of them are from our college alumni passed out student list working in various industries. The methodology of data
collection was through personal interview, phone calls, e-mail. Despite of repeated mailing follow up by phone calls and re-
reminders the responses were collected. The truthfulness of the data was tested for reliability and for validity. The industries
were southern and western part of our country. The final form of questionnaire was sent to 400 manufacturing industry after
the reminders 200 filled responses have been received. A total of 20 responses were incomplete, and hence were not
considered for the analysis. A total of 180 valid feedbacks were used for analysis, which gives around 45% response rate.
The time duration kept to get filled response was around 4 weeks. This questionnaire was sent to only manufacturing
industries in India and only those who are following Supply Chain Management.

4.2 Statistics of Respondents
          The 180 responding industries were distributed in 8 major sectors as listed Cement, Sugar, Electronic parts, Steel,
Tool/machinery, Automotive, Textile, and Pharmaceutical industries. The 180 respondents were more than 3 years of
experience in SCM field and many of them are designated as financial officer, chief financial officer, work manager, general
manager, executive director, production manager, technical head, purchase head, Quality engineer, deputy manager,
operation engineer, team head and assistant engineer.
The respondent indicates that the responses from all mix sectors like, public limited industries, private limited, public sector
organizations of small, medium and large manufacturing industries. The 180 feedbacks are with respective industries are as
follows in table.

Cement         Electronic          Sugar         Steel        Automotive        Textile     Tool/machinery      Pharmaceutical
               parts mfg
22             23                  22            25           23                21          22                  22

                                   Table 1 Response proportions industry wise
4.3 Survey data analysis
Method of Data Analysis


                                                                34
Investigation on Supply Chain Activities in the Manufacturing Sector of Southern and Western India

  Hypothesis: Hypothesis is a “tentative assumption or preliminary statement about the relationship between two or more
  things that needs to be examined”.
  There are various statistical tools are available for the analysis of the data, but we chosen “THE TESTS OF HYPOTHESES
  CONCERNING PROPORTIONS” in that One tailed tests concerning single proportions chosen for the validity and
  reliability of the survey data obtained. In this method the assumption of null hypothesis and alternate hypothesis are very
  important.
  Null hypothesis: It is an assumption about a population it is denoted by Ho.
  Alternate hypotheses: If the null hypothesis is rejected, then the opposite of the null hypotheses must be true. The hypothesis
  representing the opposite of the null hypothesis is called alternate hypothesis. It is denoted by H1.
  In n successive trials, let the probability of success in a trial be p and X be the number of success.
  The standard normal statistic for test of survey data is


                                Z= (P-p)/ σ
                                Where σ² = p(1-p)/n
                           Where p= proportion/ percentage of reply
                                      n= sample size of individual industries
                                      P=Normal distribution
                                                   P ≈p
  If the Z value is in between -1.64 to +1.64 then Ho (null hypothesis) should be accepted or else the H1 (alternate hypothesis)
  should be accepted.
  Ho: The performance of that particular strategy is true as per our survey response.
  H1: The performance of that particular strategy is not authentic as per survey.

                                                    V.            RESULTS
  5.1. As per the calculations the following results were got and they are tabulated as follows.

   The strategies or information technology tools were following in various industries are as follows as per our survey.
Strategy           Cement       Sugar       Electronic      Tool      Automotive           Steel   Textile     Pharmaceutic
                                            parts                                                              al
Partnership with Yes            Yes         Yes             Yes       Yes                  -----   Yes         Yes
suppliers
Partnership with Yes            -----       Yes             Yes       Yes                  Yes     Yes         ------
customer
Just-In-           Yes          Yes         -------         Yes       Yes                  Yes     Yes         Yes
Time
E-procurement      Yes          -----       Yes             Yes       Yes                  ------  Yes         Yes
Electronic data    Yes          Yes         ------          Yes       Yes                  Yes     Yes         Yes
interchange
Sub contracting    Yes          Yes         Yes             Yes       Yes                  Yes     Yes         Yes
Vertical           -----        Yes         Yes             Yes       Yes                  -----   Yes         Yes
integration
Many suppliers     ------       Yes         Yes             Yes       Yes                  Yes     Yes         Yes
Few suppliers      Yes          Yes         Yes             Yes       Yes                  Yes     Yes         Yes
Holding safety     Yes          -----       Yes             ----      Yes                  Yes     Yes         Yes
stock
Use of external    Yes          Yes         Yes             Yes       Yes                  Yes     -------     -------
consultants
                                      Table2 the various SCM strategy following industries

   [Here (-----) line indicates the survey data out of range, so not authentic.]




                                                                  35
Investigation on Supply Chain Activities in the Manufacturing Sector of Southern and Western India

The information system packages following in various industries as per our survey.
                Area of package                     All industries


                Material requirement planning       Custom-made

                Manufacturing resource planning     Custom-made

                Enterprise resource planning        Custom-made

                Warehouse management system         Custom-made

                Supplier relationship               Custom-made
                management

                Advance planning system             Custom-made


                Just-in-time                        Custom-made


                E-commerce                          Ready -made


                Decision support/                   Custom-made
                expert system

                Radio frequency identification      Not in use


                Electronic data interchange         Custom-made

                Bar coding                          Not in use



                               Table 3 the type of system packages following in industries.

5.2 Effect of SCM with respect following parameters in all industries.
   I) LEAD TIME IN DAYS PER MONTH

     INDUSTRY                       BEFORE SCM                       AFTER SCM                EFFECT
     Cement                         9                                4                        Reduced by 5 days
     Sugar mfg                      26                               12                       Reduced by 14 days
     Electronic parts               15                               7                        Reduced by 8 days
     Tool//machinery                15                               5                        Reduced by 10 days
     Automotive                     13                               7                        Reduced by 6 days
     Steel                          15                               6                        Reduced by 9 days
     Textile                        14                               7                        Reduced by 7 days
     Pharmaceutical                 14                               8                        Reduced by 6 days




                                                           36
Investigation on Supply Chain Activities in the Manufacturing Sector of Southern and Western India


           30                                           LEAD TIME(DAYS)
           25                                                                                      BEFORE SCM
      D                                                                                            AFTER SCM
           20
      A
           15
      Y
           10
      S
            5
            0
                    Cement     sugar     electronic     tool     automotive    steel    textile     pharmace

                                                        INDUSTRIES
                                  Fig 2 effect of SCM on lead time in various industries

II) AVG NO OF DELAYED ORDERS PER YEAR/1000

   INDUSTRY                       BEFORE SCM                              AFTER SCM                   EFFECT
   Cement                         190                                     110                         Reduced by 80
   Sugar mfg                      50                                      30                          Reduced by 20
   Electronic parts               280                                     120                         Reduced by 160
   Tool//machinery                140                                     100                         Reduced by 40
   Automotive                     170                                     100                         Reduced by 70
   Steel                          110                                     40                          Reduced by 70
   Textile                        200                                     80                          Reduced by 120
   Pharmaceutical                 150                                     50                          Reduced by 100




                               DELAYED ORDERS PER YEAR
           300
                                                                                                        BEFORE SCM
           250
                                                                                                        AFTER SCM
       D 200
       A
         150
       Y
       S 100
             50
                0
                      Cement     sugar     electronic     tool    automotive    steel    textile     pharmace
                                                         INDUSTRIES
                               Fig 3 effect of SCM on delayed orders in various industries

III) AVG NUMBER OF CASES OF SHORTAGE OF MATERIAL/1000

   INDUSTRY                       BEFORE SCM                              AFTER SCM                   EFFECT
   Cement                         170                                     80                          90 Cases Reduced
   Sugar mfg                      180                                     130                         50 Cases Reduced
   Electronic parts               220                                     80                          140 Cases Reduced
   Tool//machinery                120                                     60                          60 Cases Reduced
   Automotive                     180                                     110                         70 Cases Reduced
   Steel                          75                                      25                          50 Cases Reduced
   Textile                        200                                     120                         80 Cases Reduced
   Pharmaceutical                 170                                     110                         60 Cases Reduced




                                                                  37
Investigation on Supply Chain Activities in the Manufacturing Sector of Southern and Western India


                                     AVG NO OF CASES OF SHORTAGE OF MATERIAL
       250
                                                                                                                  BEFORE SCM
       200                                                                                                        AFTER SCM
   D
       150
   A
   Y   100
   S
           50

           0
                     Cement      sugar      electronic      tool      automotive     steel     textile     pharmace
                                                              INDUSTRIES

                                 Fig 4.Effect of SCM on number of cases of shortage of material

IV) AVG NO OF DELAYED ORDERS TO CUSTOMER AFTER DUE DATES/1000

   INDUSTRY                              BEFORE SCM                                AFTER SCM               EFFECT
   Cement                                75                                        35                      40 Cases Reduced
   Sugar mfg                             50                                        10                      40 Cases Reduced
   Electronic parts                      200                                       100                     100 Cases Reduced
   Tool//machinery                       100                                       40                      60 Cases Reduced
   Automotive                            100                                       50                      50 Cases Reduced
   Steel                                 140                                       60                      80 Cases Reduced
   Textile                               150                                       80                      70 Cases Reduced
   Pharmaceutical                        80                                        30                      50 Cases Reduced




                              DELAYED ORDERS TO CUSTOMER AFTER DUE DATE
            250
                                                                                                              BEFORE SCM
            200                                                                                               AFTER SCM
       D
            150
       A
       Y    100
       S
                50

                0
                        Cement      sugar      electronic      tool     automotive     steel     textile    pharmace

                                                               INDUSTRIES

                                         Fig 5 Effect of SCM on delayed orders to customer

V) PERCENTAGE OF ACTIVITIES NOT CARRIED AS PER THE SCHEDULE

   INDUSTRY                              BEFORE SCM                                AFTER SCM               EFFECT
   Cement                                8                                         4                       4% Improved
   Sugar mfg                             25                                        15                      10% Improved
   Electronic parts                      30                                        10                      20% Improved
   Tool//machinery                       13                                        4                       9% Improved
   Automotive                            9                                         4                       5% Improved
   Steel                                 7                                         3                       4% Improved
   Textile                               17                                        10                      7% Improved
   Pharmaceutical                        25                                        10                      15% Improved




                                                                       38
Investigation on Supply Chain Activities in the Manufacturing Sector of Southern and Western India


                                 % OF ACTIVITIES NOT CARRIED AS PER THE SCHEDULE
                      35
                      30                                                                      BEFORE SCM

                    25
                  D
                  A 20
                  Y 15
                  S 10

                       5
                       0
                            Cement          electronic       automotive        textile
                                                         INDUSTRIES
                              Fig 6 effect of SCM on scheduling activities of various industries

                                              VI.            FINDINGS
           Based on the results got by the questionnaire survey and detailed calculation over reliability and validity of the
data the following findings are made.
     1: Many Indian manufacturing industries are following supply chain strategies to become competitive.
     2: The supply chain management strategies and system packages are contributing to achieve good lead time, better
           manufacturing activities and reducing delayed order to customer.
     3: The custom-made information system packages are more adopted than the ready-made packages.

                                          VII.             CONCLUSION
          The previous works have considered only individual supply chain strategy and its effect. Here we focused on
various supply chain strategies and information system packages, their effect on manufacturing lead time, delayed orders per
year, shortage of material, delayed orders to customer after due dates and % of manufacturing activities carried as per the
schedule in various industries. In our study an attempt is made to study supply chain strategies in Indian manufacturing
industries.
          The interviews and mail survey confirms that the supply chain strategies and information system packages are
contributing very much in making industries more competitive and with more capabilities then before at a faster rate. The
survey method shows that how SCM strategies especially e-business application improves industry processes and
consequently improve the performance of manufacturing industries.
          The 8 manufacturing industries which we are selected for our survey follows almost all strategies to improve
business processes. The radio frequency identification and bar coding technology are the strategies which are less proffered.
With proper implication of SCM strategies and information system packages industry can achieve good lead time, less
shortage of material, less chances of supplying products to customer after due date and more chances of carrying
manufacturing activities as per the schedule. These are the some vital information gathered by our investigation.
          By our study many Indian manufacturing industries are following supply chain strategies to become competitive.
They are now on course of aligning their processes and management focus on areas of customer service, profit maximization
and operational excellence. Among various information system packages the ready-made packages are adopted by all 8
major manufacturing sector to get better benefit.
                                                         REFERENCES
  [1].    Jinesh Kumar Jain, Govind sharan Dangayach, Gopal Agarwal “Evidence of Supply chain Management in Indian
          manufacturing firms: a survey” ISSN 1750-9653 International Journal of Management Science.
  [2].    Choudhury Abul Anam Rashed, abdullahil Azeem, Zaheed Halim “Effect of Information and Knowledge Sharing on Supply
          Chain Performance: A Survey Based Approach” Volume 3(December 2010) JOSCM Journal
  [3].    Ya-Ling Tsai “Supply Chain Collaborative practices: A Supplier perspective” The department of Marketing University of
          Stirling, Scotland.
  [4].    James A Tomkins “Manufacturing Strategies for the Supply Chain”
  [5].    Faraz Tahiri, Mohammad Rasid Osman, Aidy Ali “A Review of Supplier Selection Methods in Manufacturing Industries”
          Suranaree J.Sci.Technol. 15(3); 201-208
  [6].    Nilubon Sivabrovornvatan “The value of Information Sharing in Supply Chain Management”
  [7].    Dharamvir Mangal, Pankaj Chandna “Inventory Control In Supply Chain Through Lateral Transshipment- A Case Study
          In Indian Industry” International Journal of engg.(IJE), Volume (3); issue (5)
  [8].    Ms. Oksana Mont, Mr. Andrius Plepys “Customer Satisfaction: Review Of Literature and Application to the Product-
          Service Systems” International Institute for Industrial Environmental Economics. (AIST)
  [9].    Prof. H. Venkateshwarlu and Ravi Akula “Benefits of Supply Chain Management Practices – A Study of Select
          Organizations”
  [10].   B.S. Sahay, Jatinder N.D. Guptay, Ramneesh Mohan “Managing Supply Chains for Competitiveness the Indian Scenario”
          Supply Chain Management: An International Journal 11/1 (2006) 15–24 @ Emerald Group Publishing Limited [ISSN 1359-
          8546]
          [DOI 10.1108/13598540610642439]


                                                              39

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IJERD (www.ijerd.com) International Journal of Engineering Research and Development

  • 1. International Journal of Engineering Research and Development e-ISSN : 2278-067X, p-ISSN : 2278-800X, www.ijerd.com Volume 2, Issue 8 (August 2012), PP. 33-39 Investigation on Supply Chain Activities in the Manufacturing Sector of Southern and Western India S.S.Hebbal1, Bheemasain kulkarni2, 1,2 Department of Mechanical Engineering, P.D.A. Engineering College, Gulbarga India Abstract––Supply Chain Management emerged as one of the most powerful business improvement tool available today. A number of SCM practices such as supplier, customer, ERP, subcontracting, E-procurement, EDI, E-commerce have been addressed in Indian manufacturing industries and a conceptual model was formulated based on previous literature and a questionnaire developed, survey was performed. This paper examines the effect of Supply Chain Management Strategies and its information system packages that are following in various manufacturing industries. Primary Data from manufacturing industry of various fields like Automotive, Sugar, Cement, Steel etc…were collected through interview and mail survey. The content of reply and reliability are tested. Analysis has been carried out based upon questionnaire results and suitable hypothesis developed. The survey and analysis proves that the Supply Chain Management Strategies and custom-made packages are significantly useful to the manufacturing firms. Keywords—Supply Chain strategies, questionnaire, custom-made packages, ready-made packages, lead time, delayed orders. I. INTRODUCTION Defination of supply chain management:- A supply chain can be defined as a „connected series of activities which is concerned with planning, coordinating and controlling materials, parts and finished goods from supplier to customer‟. Supply chain management (SCM) is concerned with the flow of products and information between supply chain members' organizations. Recent development in technologies enables the organization to avail information easily in their premises. These technologies are helpful to coordinates the activities to manage the supply chain. The cost of information is decreased due to the increasing rate of technologies. In the integrated supply chain model (Fig.1) bi-directional arrow reflect the accommodation of reverse materials and information feedback flows. Manager needs to understand that information technology is more than just computers. Except computer data recognition equipment, communication technologies, factory automation and other hardware and services are included. 1.1Stages in Supply Chain Management Fig 1 Stages in Supply Chain Management In above mentioned every stages purchasing function needs, purchasing between suppliers and purchasing, purchasing between Production, Production between distributors and distributors between Customers. The information‟s sharing and communication between the above mentioned departments plays vital role in industry. Fig shows bi-direction information flows between every stage to keep on Supply Chain Management effectively. 1.2 Effect of Information technology on supply chain management Information technology (IT) consists of a collection of IT resources that are shared and used by a firm. It consists of both the technical and organizational capabilities that provide the opportunities to share IT resources with and across the firm. In addition to this, the progress of web technologies for innovations in the supply chain mainly focuses on helping the decision makers develop and manage customer relationships by professionally integrating applications, and allowing for collaboration between trading partners in real-time [11]. 33
  • 2. Investigation on Supply Chain Activities in the Manufacturing Sector of Southern and Western India II. OBJECTIVES  The main objective of the study is to examine the benefits gained by the industries by implementing SCM.  To highlight the differences between non SCM industries and SCM industries.  To show IT and its tools are enabler of SCM.  Importance of IT applications with respect to SCM. III. DEVELOPMENT OF QUESTIONNAIRE 3.1 VARIOUS IT TOOLS IN SCM [4].  BAR CODING  DECISION SUPPORT SYSTEM  EDI  E-PROCUREMENT  ELECTRONIC COMMERCE  ERP  INFORMATION SYSTEMS  MRP  WAREHOUSE MANAGEMENT SYSTEMS  VERTICAL INTEGRATION Based on the literature a questionnaire was designed. The questionnaire has been developed on a five point Likert scale. Various issues of Supply Chain Management have been incorporated related Indian manufacturing industries. The questionnaire contains 10 major questions, in that question no 4 contains 11 SCM strategies like partnership with suppliers and customers, E-procurement, subcontracting, use of external consultants etc… question no 5 pertaining to various information technology tools and its system of packages that the company currently following to support SCM, like MRP, MRPII, ERP, WMS, APS, JIT with its system packages like custom- made or ready-made packages. Same questions repeats in question no 6 taking into consideration of employ opinion, so what type of system they prefer for SCM. The question no 10 pertains 2 criteria with respect to IT application to SCM. 3.2 Target Industries for Survey Eight sectors from the Indian manufacturing industry were selected for the administration of the questionnaire. These are: (i) Automotive (ii) Cement (iii) Electronic parts manufacturing (iv) Steel (v) Sugar (vi) Tool/machinery parts (vii) Textile (viii) Pharmaceutical. IV. RESEARCH METHODOLOGY 4.1 Survey administration The survey is based on data collected by framing a questionnaire. Final version of the questionnaire sent to the various manufacturing industries. The list of industries was drawn for data collection by Indian industries directory and some of them are from our college alumni passed out student list working in various industries. The methodology of data collection was through personal interview, phone calls, e-mail. Despite of repeated mailing follow up by phone calls and re- reminders the responses were collected. The truthfulness of the data was tested for reliability and for validity. The industries were southern and western part of our country. The final form of questionnaire was sent to 400 manufacturing industry after the reminders 200 filled responses have been received. A total of 20 responses were incomplete, and hence were not considered for the analysis. A total of 180 valid feedbacks were used for analysis, which gives around 45% response rate. The time duration kept to get filled response was around 4 weeks. This questionnaire was sent to only manufacturing industries in India and only those who are following Supply Chain Management. 4.2 Statistics of Respondents The 180 responding industries were distributed in 8 major sectors as listed Cement, Sugar, Electronic parts, Steel, Tool/machinery, Automotive, Textile, and Pharmaceutical industries. The 180 respondents were more than 3 years of experience in SCM field and many of them are designated as financial officer, chief financial officer, work manager, general manager, executive director, production manager, technical head, purchase head, Quality engineer, deputy manager, operation engineer, team head and assistant engineer. The respondent indicates that the responses from all mix sectors like, public limited industries, private limited, public sector organizations of small, medium and large manufacturing industries. The 180 feedbacks are with respective industries are as follows in table. Cement Electronic Sugar Steel Automotive Textile Tool/machinery Pharmaceutical parts mfg 22 23 22 25 23 21 22 22 Table 1 Response proportions industry wise 4.3 Survey data analysis Method of Data Analysis 34
  • 3. Investigation on Supply Chain Activities in the Manufacturing Sector of Southern and Western India Hypothesis: Hypothesis is a “tentative assumption or preliminary statement about the relationship between two or more things that needs to be examined”. There are various statistical tools are available for the analysis of the data, but we chosen “THE TESTS OF HYPOTHESES CONCERNING PROPORTIONS” in that One tailed tests concerning single proportions chosen for the validity and reliability of the survey data obtained. In this method the assumption of null hypothesis and alternate hypothesis are very important. Null hypothesis: It is an assumption about a population it is denoted by Ho. Alternate hypotheses: If the null hypothesis is rejected, then the opposite of the null hypotheses must be true. The hypothesis representing the opposite of the null hypothesis is called alternate hypothesis. It is denoted by H1. In n successive trials, let the probability of success in a trial be p and X be the number of success. The standard normal statistic for test of survey data is Z= (P-p)/ σ Where σ² = p(1-p)/n Where p= proportion/ percentage of reply n= sample size of individual industries P=Normal distribution P ≈p If the Z value is in between -1.64 to +1.64 then Ho (null hypothesis) should be accepted or else the H1 (alternate hypothesis) should be accepted. Ho: The performance of that particular strategy is true as per our survey response. H1: The performance of that particular strategy is not authentic as per survey. V. RESULTS 5.1. As per the calculations the following results were got and they are tabulated as follows. The strategies or information technology tools were following in various industries are as follows as per our survey. Strategy Cement Sugar Electronic Tool Automotive Steel Textile Pharmaceutic parts al Partnership with Yes Yes Yes Yes Yes ----- Yes Yes suppliers Partnership with Yes ----- Yes Yes Yes Yes Yes ------ customer Just-In- Yes Yes ------- Yes Yes Yes Yes Yes Time E-procurement Yes ----- Yes Yes Yes ------ Yes Yes Electronic data Yes Yes ------ Yes Yes Yes Yes Yes interchange Sub contracting Yes Yes Yes Yes Yes Yes Yes Yes Vertical ----- Yes Yes Yes Yes ----- Yes Yes integration Many suppliers ------ Yes Yes Yes Yes Yes Yes Yes Few suppliers Yes Yes Yes Yes Yes Yes Yes Yes Holding safety Yes ----- Yes ---- Yes Yes Yes Yes stock Use of external Yes Yes Yes Yes Yes Yes ------- ------- consultants Table2 the various SCM strategy following industries [Here (-----) line indicates the survey data out of range, so not authentic.] 35
  • 4. Investigation on Supply Chain Activities in the Manufacturing Sector of Southern and Western India The information system packages following in various industries as per our survey. Area of package All industries Material requirement planning Custom-made Manufacturing resource planning Custom-made Enterprise resource planning Custom-made Warehouse management system Custom-made Supplier relationship Custom-made management Advance planning system Custom-made Just-in-time Custom-made E-commerce Ready -made Decision support/ Custom-made expert system Radio frequency identification Not in use Electronic data interchange Custom-made Bar coding Not in use Table 3 the type of system packages following in industries. 5.2 Effect of SCM with respect following parameters in all industries. I) LEAD TIME IN DAYS PER MONTH INDUSTRY BEFORE SCM AFTER SCM EFFECT Cement 9 4 Reduced by 5 days Sugar mfg 26 12 Reduced by 14 days Electronic parts 15 7 Reduced by 8 days Tool//machinery 15 5 Reduced by 10 days Automotive 13 7 Reduced by 6 days Steel 15 6 Reduced by 9 days Textile 14 7 Reduced by 7 days Pharmaceutical 14 8 Reduced by 6 days 36
  • 5. Investigation on Supply Chain Activities in the Manufacturing Sector of Southern and Western India 30 LEAD TIME(DAYS) 25 BEFORE SCM D AFTER SCM 20 A 15 Y 10 S 5 0 Cement sugar electronic tool automotive steel textile pharmace INDUSTRIES Fig 2 effect of SCM on lead time in various industries II) AVG NO OF DELAYED ORDERS PER YEAR/1000 INDUSTRY BEFORE SCM AFTER SCM EFFECT Cement 190 110 Reduced by 80 Sugar mfg 50 30 Reduced by 20 Electronic parts 280 120 Reduced by 160 Tool//machinery 140 100 Reduced by 40 Automotive 170 100 Reduced by 70 Steel 110 40 Reduced by 70 Textile 200 80 Reduced by 120 Pharmaceutical 150 50 Reduced by 100 DELAYED ORDERS PER YEAR 300 BEFORE SCM 250 AFTER SCM D 200 A 150 Y S 100 50 0 Cement sugar electronic tool automotive steel textile pharmace INDUSTRIES Fig 3 effect of SCM on delayed orders in various industries III) AVG NUMBER OF CASES OF SHORTAGE OF MATERIAL/1000 INDUSTRY BEFORE SCM AFTER SCM EFFECT Cement 170 80 90 Cases Reduced Sugar mfg 180 130 50 Cases Reduced Electronic parts 220 80 140 Cases Reduced Tool//machinery 120 60 60 Cases Reduced Automotive 180 110 70 Cases Reduced Steel 75 25 50 Cases Reduced Textile 200 120 80 Cases Reduced Pharmaceutical 170 110 60 Cases Reduced 37
  • 6. Investigation on Supply Chain Activities in the Manufacturing Sector of Southern and Western India AVG NO OF CASES OF SHORTAGE OF MATERIAL 250 BEFORE SCM 200 AFTER SCM D 150 A Y 100 S 50 0 Cement sugar electronic tool automotive steel textile pharmace INDUSTRIES Fig 4.Effect of SCM on number of cases of shortage of material IV) AVG NO OF DELAYED ORDERS TO CUSTOMER AFTER DUE DATES/1000 INDUSTRY BEFORE SCM AFTER SCM EFFECT Cement 75 35 40 Cases Reduced Sugar mfg 50 10 40 Cases Reduced Electronic parts 200 100 100 Cases Reduced Tool//machinery 100 40 60 Cases Reduced Automotive 100 50 50 Cases Reduced Steel 140 60 80 Cases Reduced Textile 150 80 70 Cases Reduced Pharmaceutical 80 30 50 Cases Reduced DELAYED ORDERS TO CUSTOMER AFTER DUE DATE 250 BEFORE SCM 200 AFTER SCM D 150 A Y 100 S 50 0 Cement sugar electronic tool automotive steel textile pharmace INDUSTRIES Fig 5 Effect of SCM on delayed orders to customer V) PERCENTAGE OF ACTIVITIES NOT CARRIED AS PER THE SCHEDULE INDUSTRY BEFORE SCM AFTER SCM EFFECT Cement 8 4 4% Improved Sugar mfg 25 15 10% Improved Electronic parts 30 10 20% Improved Tool//machinery 13 4 9% Improved Automotive 9 4 5% Improved Steel 7 3 4% Improved Textile 17 10 7% Improved Pharmaceutical 25 10 15% Improved 38
  • 7. Investigation on Supply Chain Activities in the Manufacturing Sector of Southern and Western India % OF ACTIVITIES NOT CARRIED AS PER THE SCHEDULE 35 30 BEFORE SCM 25 D A 20 Y 15 S 10 5 0 Cement electronic automotive textile INDUSTRIES Fig 6 effect of SCM on scheduling activities of various industries VI. FINDINGS Based on the results got by the questionnaire survey and detailed calculation over reliability and validity of the data the following findings are made. 1: Many Indian manufacturing industries are following supply chain strategies to become competitive. 2: The supply chain management strategies and system packages are contributing to achieve good lead time, better manufacturing activities and reducing delayed order to customer. 3: The custom-made information system packages are more adopted than the ready-made packages. VII. CONCLUSION The previous works have considered only individual supply chain strategy and its effect. Here we focused on various supply chain strategies and information system packages, their effect on manufacturing lead time, delayed orders per year, shortage of material, delayed orders to customer after due dates and % of manufacturing activities carried as per the schedule in various industries. In our study an attempt is made to study supply chain strategies in Indian manufacturing industries. The interviews and mail survey confirms that the supply chain strategies and information system packages are contributing very much in making industries more competitive and with more capabilities then before at a faster rate. The survey method shows that how SCM strategies especially e-business application improves industry processes and consequently improve the performance of manufacturing industries. The 8 manufacturing industries which we are selected for our survey follows almost all strategies to improve business processes. The radio frequency identification and bar coding technology are the strategies which are less proffered. With proper implication of SCM strategies and information system packages industry can achieve good lead time, less shortage of material, less chances of supplying products to customer after due date and more chances of carrying manufacturing activities as per the schedule. These are the some vital information gathered by our investigation. By our study many Indian manufacturing industries are following supply chain strategies to become competitive. They are now on course of aligning their processes and management focus on areas of customer service, profit maximization and operational excellence. Among various information system packages the ready-made packages are adopted by all 8 major manufacturing sector to get better benefit. REFERENCES [1]. Jinesh Kumar Jain, Govind sharan Dangayach, Gopal Agarwal “Evidence of Supply chain Management in Indian manufacturing firms: a survey” ISSN 1750-9653 International Journal of Management Science. [2]. Choudhury Abul Anam Rashed, abdullahil Azeem, Zaheed Halim “Effect of Information and Knowledge Sharing on Supply Chain Performance: A Survey Based Approach” Volume 3(December 2010) JOSCM Journal [3]. Ya-Ling Tsai “Supply Chain Collaborative practices: A Supplier perspective” The department of Marketing University of Stirling, Scotland. [4]. James A Tomkins “Manufacturing Strategies for the Supply Chain” [5]. Faraz Tahiri, Mohammad Rasid Osman, Aidy Ali “A Review of Supplier Selection Methods in Manufacturing Industries” Suranaree J.Sci.Technol. 15(3); 201-208 [6]. Nilubon Sivabrovornvatan “The value of Information Sharing in Supply Chain Management” [7]. Dharamvir Mangal, Pankaj Chandna “Inventory Control In Supply Chain Through Lateral Transshipment- A Case Study In Indian Industry” International Journal of engg.(IJE), Volume (3); issue (5) [8]. Ms. Oksana Mont, Mr. Andrius Plepys “Customer Satisfaction: Review Of Literature and Application to the Product- Service Systems” International Institute for Industrial Environmental Economics. (AIST) [9]. Prof. H. Venkateshwarlu and Ravi Akula “Benefits of Supply Chain Management Practices – A Study of Select Organizations” [10]. B.S. Sahay, Jatinder N.D. Guptay, Ramneesh Mohan “Managing Supply Chains for Competitiveness the Indian Scenario” Supply Chain Management: An International Journal 11/1 (2006) 15–24 @ Emerald Group Publishing Limited [ISSN 1359- 8546] [DOI 10.1108/13598540610642439] 39