the role of supply chain processes and information sharing in supply chain management

265 543 0
the role of supply chain processes and information sharing in supply chain management

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

Thông tin tài liệu

THE ROLE OF SUPPLY CHAIN PROCESSES AND INFORMATION SHARING IN SUPPLY CHAIN MANAGEMENT DISSERTATION Presented in Partial Fulfillment of the Requirement for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Honggeng Zhou, B.S., M.S., M.A ***** The Ohio State University 2003 Dissertation Committee: Approved by Professor W.C Benton, Advisor Professor Glenn Milligan Professor David Schilling _ Advisor Graduate Program in Business Administration Copyright by Honggeng Zhou 2003 ABSTRACT Supply chain process and information sharing play critical roles in today’s supply chain management Previous research in supply chain management has studied various supply chain processes and different aspects of information sharing separately Therefore, this dissertation proposes a comprehensive framework to study the relationships among supply chain process, information sharing, supply chain dynamism, and business performance The dissertation starts with mathematical models and simulation models to better understand the relationships among the variables The theorems derived from the mathematical models are tested in more generalized supply chain settings The results from the mathematical models and simulation models provide several managerial insights and help develop the empirical models The empirical part of this dissertation uses a cross-sectional survey method Structural equation modeling is used to explore the relationships among five supply chain processes, four aspects of information sharing, supply chain dynamism, and five dimensions of business performance Responses from 120 executives in manufacturing industries, representing a 18 percent response rate, suggest that both effective supply chain process and effective information sharing are necessary to achieve optimal business performance When supply chain dynamism increases, effective information sharing ii becomes more important Information sharing does not have direct positive impact on business performance, but it has positive impact on business performance through effective supply chain process Effective supply chain process has positive influence on all performance dimensions, but the degrees of positive influence vary for different performance dimensions The analytical methodology tests three of the six research hypotheses proposed in this dissertation, one of which can not be tested by the empirical methodology The empirical methodology tests five of the six research hypotheses, three of which can not be tested by the analytical methodology The analytical and empirical research methodologies corroborate and complement each other The results of this dissertation research show that both effective supply chain process and effective information sharing are necessary for achieving optimal business performance under alternative supply chain dynamism Effective information sharing is important for assimilating supply chain dynamics information and using that information to guide the use of effective supply chain process Effective supply chain process is important for mediating the influence of effective information sharing on business performance Executives must balance the investment in information sharing and supply chain process iii Dedicated to My Grandfather, My Father, My Mother, and My Sister 献给我的外公丁方丈, 我的父亲周强, 我的母亲丁招弟, 和我的妹妹丁添娟 iv ACKNOWLEDGMENTS I am forever grateful to my advisor, Dr W.C Benton, who provided guidance, support, and love throughout the research Dr Benton taught me not only how to conduct scholarly research, but also how to become a better person Without his help, this dissertation as well as my future career would never be possible I would like to thank the committee members, Dr Glenn Milligan and Dr David Schilling, for their critical insights, suggestions, and support throughout my education at the Ohio State University I also would like to thank Drs William Berry, David Collier, Nicholas Hall, Keong Leong, and Dr Peter Ward for their guidance and help during my coursework and in my research Further thanks are extended to my dear colleagues, especially Dr Hojung Shin, Dr Carol Prahinski, and Eric Olsen And for those friends, family, and students who provided me fun in my non-academic life, thank you very much v VITA October, 19, 1974 ………………………… Born - Hangzhou, Zhejiang, P R China 1993-1997 ………………………………… B.S., Computer Science and Engineering Zhejiang University, Hangzhou, P.R China 1997-1999 ………………………………… M.S., Statistics and Computer Science University of Memphis, Memphis, TN 1999-2002 ………………………………… M.A., Business Administration The Ohio State University, Columbus, OH FIELDS OF STUDY Major Field: Business Administration Concentration: Operations Management Minor Field: Management of Information Systems vi TABLE OF CONTENTS Page ASTRACTS………………………………………………………………… ii DEDICATION……………………………………………………………… iv ACKNOWLEDGEMENT…………………………………………………… v VITA………………………………………………………………………… vi LIST OF TABLES………………………………………………………… xi LIST OF FIGURES………………………………………………………… xiii CHAPTER 1: RESEARCH OVERVIEW…………………………………… 1.1 Introduction…………………………………………………………… 1.2 Research Background and Motivation………………………………… 1.3 Research Objectives…………………………………………………… 1.4 Overview of Research Methodology………………………………… 1.5 Contributions and Findings…………………………………………… 1.6 Summary……………………………………………………………… 12 CHAPTER 2: LITERATURE REVIEW…………………………………… 14 2.1 Introduction…………………………………………………………… 14 2.2 Supply Chain Processes……………………………………………… 16 2.2.1 Supply Chain Operations Reference (SCOR) Model………… 16 2.2.2 “Plan” Process………………………………………………… 19 2.2.3 “Source” Process……………………………………………… 23 2.2.4 “Make” Process……………………………………………… 26 2.2.5 “Deliver” Process……………………………………………… 31 vii 2.2.6 “Return” Process……………………………………………… 33 2.2.7 Relationship between Supply Chain Processes and Business 34 Performance…………………………………………………… 2.3 Information Sharing…………………………………………………… 34 2.3.1 Information Sharing Support Technologies…………………… 35 2.3.2 Information Content…………………………………………… 37 2.3.3 Information Quality…………………………………………… 39 2.3.4 Information Sharing and Supply Chain Processes…………… 42 2.3.5 Information Sharing and Business Performance……………… 44 Supply Chain Dynamism……………………………………………… 48 2.4.1 Supply Chain Dynamism……………………………………… 48 2.4.2 Supply Chain Information Sharing System Dynamics……… 50 2.5 Business Performance………………………………………………… 52 2.6 Summary……………………………………………………………… 54 2.4 CHAPTER 3: RESEARCH PROBLEM FORMULATION AND 65 RESEARCH PLAN………………………………………… 3.1 Introduction…………………………………………………………… 65 3.2 Research Problem Formulation……………………………………… 65 3.2.1 General Research Problem Formulation……………………… 66 3.2.2 Analytical Problem Formulation……………………………… 68 3.2.3 Empirical Problem Formulation……………………………… 70 Analytical Research Plan……………………………………………… 73 3.4 Empirical Research Plan……………………………………………… 76 3.3 3.4.1 76 3.4.2 Instrument Design and Development………………………… 85 3.4.3 Data Collection……………………………………………… 3.5 Prior Structural Equation Models……………………………… 94 Summary……………………………………………………………… 97 viii CHAPTER 4: ANALYTICAL MODELS………………………………… 98 4.1 Introduction…………………………………………………………… 98 4.2 Research Motivation and Model Description………………………… 98 4.3 Two Suppliers………………………………………………………… 102 4.4 Three Suppliers………………………………………………………… 112 4.5 Many Suppliers………………………………………………………… 118 4.5.1 Model Description…………………………………………… 119 4.5.2 Experimental Results………………………………………… 124 Summary……………………………………………………………… 130 4.6 CHAPTER 5: MEASUREMENT VALIDATION RESULTS OF THE 134 EMPIRICAL STUDY……………………………………… 5.1 Introduction…………………………………………………………… 134 5.2 Sample Demographics………………………………………………… 134 5.2.1 Characteristics of the Respondents and Their Firms………… 135 5.2.2 Missing Data and Model Assumption Checking……………… 136 5.2.3 Non-response Bias…………………………………………… 138 Measurement Validation and Results………………………………… 147 5.3.1 Measurement Validity………………………………………… 147 5.3.2 Measurement Reliability……………………………………… 148 5.3.3 Item Deletion Process………………………………………… 149 5.3.4 Sampling Adequacy and Correlation Matrix Sphericity Testing 166 5.4 SUMMARY…………………………………………………………… 167 CHAPTER 6: TESTING THE STRUCTURAL EQUATION MODELS 169 5.3 AND HYPOTHESES……………………………………… 6.1 Introduction…………………………………………………………… 169 6.2 Fit Indices……………………………………………………………… 169 6.3 COST Model………………………………………………………… 171 6.4 FLEXIBILITY Model………………………………………………… 177 ix Petersen, K 1999 The effect of information quality on supply chain performance: an inter-organizational information system perspective Unpublished dissertation, Michigan State University, MI Pfeffer, J 1998 Seven practices of successful organizations California Management Review 40(2) 96-124 Piszczalski, M 2002 Lean vs information systems Automotive Design & Production http://www.autofieldguide.com/columns/martin/0800it.html Powell, T 1995 Total quality management as competitive advantage: a review and empirical study Strategic Management Journal 16(1) 15-27 Prahinski, C., W.C Benton 2003 Supplier evaluations: communication strategies to improve supplier performance Working paper, University of Western Ontario and the Ohio State University Premkumar, G., R William 1994 Organizational characteristics and information systems planning: an empirical study Information Systems Research 5(2) 75-119 Pyke, D., M Cohen 1990 Push and pull in manufacturing and distribution systems Journal of Operations Management 9(1) 24-43 Ramdas, K., R Spekman 2000 Chain or shackles: understanding what drives supplychain performance Interfaces 30(4) 3-21 Riggins, F.J., T Mukhopadhyay 1994 Interdependent benefits from interorganizational systems: opportunities for business partner reengineering Journal of Management Information Systems 11 37–57 Riggins, F.J., T Mukhopadhyay 1999 Overcoming adoption and implementation risks of EDI International Journal of Electronic Commerce 103–124 Roth, A., Miller, J 1992 Success factors in manufacturing Business Horizons 35(4) 7381 Roundy, R.O 1985 98%-effective integer-ratio lot-sizing for one-warehouse multiretailer systems Management Science 31 1416–1430 Rungtusanatham, M 2001 Beyond improved quality: the motivational effects of statistical process control Journal of Operations Management 19(6) 653-673 Rungtusanatham, M., J Anderson, K Dooley 1997 Conceptualizing organizational implementation and practice of statistical process control Journal of Quality Control 2(1) 113-137 237 Rushinek, A., S Rushinek 1984 A user evaluation of information characteristics related to demand deposit systems: an empirical analysis,” Information and Management 69-72 Saarinen, T 1996 An expanded instrument for evaluating information system success Information & Management 31(2) 103-118 Samson, D., M Terziovski 1999 The relationship between total quality management practices and operational performance Journal of Operations Management 17(4) 393409 Schilling, M.A 2002 Technology success and failure in winner-take-all markets: the impact of learning orientation, timing, and network externalities Academy of Management Journal 45 387–398 Schlie, T., J Goldhar 1995 Advanced manufacturing and new directions for competitive strategy Journal of Business Research 33 103-114 Schonberger, R J 1990 World Class Manufacturing: The next decade Free Press, New York Schonberger, R., A, Ansari 1984 Just-in-Time purchasing can improve quality International Journal of Purchasing and Materials Management 20(1) 2-6 Schroeder, R., B Flynn 2001 High performance manufacturing John Wiley & Sons, Inc., New York Seddon, P 1997 A re-specification and extension of the DeLone and McLean Model of IS success Information system research 8(3) 240-253 Shapiro, B 1977 Can marketing and manufacturing coexist? Harvard Business Review 55(5) 104-114 Shapiro, C., Varian, H 1999 The art of standards wars California Management Review 41(2) 8-32 Shaw, M 2000 Information-based manufacturing and the web International Journal of Flexible Manufacturing Systems 12(2,3) 115 Shore, B 2001 Information sharing in global supply chain systems Journal of Global Information Technology Management 4(3) 27-50 Shore, H 1995 Setting safety lead-times for purchased components in assembly systems: a general solution procedure IIE Transactions 27 634–637 238 Simchi-Levi, D., P Kaminsky, E Simchi-Levi 2003 Designing & managing the supply chain: concepts, strategies & case studies McGraw-Hill/Irwin, New York, NY Skinner, W 1974 The focused factory Harvard Business Review 52(3) 113-121 Small, M 1999 Assessing manufacturing performance: an advanced manufacturing technology portfolio perspective Industrial Management and Data Systems 99(6) 256267 Small, M., M Yasin 1997 Advanced manufacturing technology: implementation policy and performance Journal of Operations Management 15(4) 349-370 Song, J.-S., C.A Yano, P Lerssrisuriya 2000 Contract assembly: dealing with combined supply lead time and demand quantity uncertainty Manufacturing and Service Operations Management 287–296 Spring, M R Sweeting 2002 Empowering customers: portals, supply networks and assemblers International Journal of Technology Management 23(1/2/3) 113-128 SPSS Inc.1990 SPSS base system user’s guide SPSS Inc., Chicago, IL Srinivasan, K., S Kekre, T Mukhopadhyay 1994 Impact of electronic data interchange technology on JIT shipments Management Science 40(10) 1291-1304 Stalk, G., P Evans, L Shuman 1992 Competing on capabilities: The new rules of corporate strategy Harvard Business Review 70(2) 54-65 Strader, T., F Lin, M Shaw 1999 The impact of information sharing on order fulfillment in divergent differentiation supply chains Journal of Global Information Management 7(1) 16-25 Supply Chain Council 2000 Supply Chain Operations Reference Model Version 5.0 Supply Chain Council 2002 E-business and supply chain processes Sum, C., K Yang, J Ang, S Quek 1995 An analysis of material requirements planning benefits using alternating conditional expectation Journal of Operations Management 13(1) 35-48 Sun, H., R Hjulstad, J Frick 1999 Critical success factors in the implementation of advanced manufacturing technology by Norwegian companies International Journal of Management 16(4) 548-556 Swaminathan, J 1996 Quantitative analysis for emerging practices in supply chains Unpublished dissertation, Carnigie-Mellon University, PA 239 Swamidass, P., S Kotha 1998 Explaining manufacturing technology use, firm size, and performance using a multidimensional view of technology Journal of Operations Management 17(1) 23-27 Treleven, M 1987 Single sourcing: a management tool for the quality supplier International Journal of Purchasing and Materials Management 23(1) 19-24 Truman, G 2000 Integration in electronic exchange environment Journal of Management Information Systems 17(1) 209-244 Tucker, L.R., Lewis, C 1973 A reliability coefficient for maximum likelihood factor analysis Psychometrika 38 1-10 Tushman, M., D Nadler 1978 Information processing as an integrating concept in organizational design Academy Management of Review 3(3) 613-624 Verstraaten, P 2000 Supply chain management and E-business Chartered Accountants Journal of New Zealand 79(3) 18 Vijayasarathy, L., D Robey 1997 The effect of EDI on market channel relationship in retailing Information & Management 33(2) 73-86 Waterson, P.E., C Clegg, R Bolden, K Pepper, P Warr, T Wall 1997 The Use and Effectiveness of Modern Manufacturing Practices in the United Kingdom, University of Sheffield, Sheffield, England Watts, C.A., K.Y Kim, C.K Hahn 1992 Linking purchasing to corporate competitive strategy International Journal of Purchasing and Materials Management 29(2) 11-17 Webb, J 2001 The performance enabling effects between information technology and supply chain management: evidence from durable manufacturing industries Unpublished dissertation, Arizona State University Wemmerlov, U., N Hyer 1989 Cellular manufacturing practices Manufacturing Engineering 102(3) 79-82 Wheaton, B., D Muthen, D Alwin, G Summers 1977 Assessing reliability and stability in panel models In: Heise, D (Ed.) Sociological Methodology, Jossey-Bass, San Francisco Whybark, C 1994 Marketing’s influences on manufacturing practices International Journal of Production Economics 37(1) 41-50 Witt, C.2001 Staying on track Material Handling Management 56(9) 10-11 240 Womack, J., D Jones, D Roos 1990 The machine that changed the world Rawson Associates, New York Yano, C.A 1987 Setting planned leadtimes in serial production systems with tardiness costs Management Science 33 95–106 241 Appendix A Survey Questionnaire 242 2003 Survey of Supply Chain Practices and Information Technology Management Department of Management Sciences Max M Fisher College of Business The Ohio State University Instructions: This survey addresses critical issues of supply chain practices and information technology management (1) Please evaluate the statements by circling the most appropriate response, checking the most appropriate category, or filling in the blanks (2) If a question does not apply in your situation, please respond by circling N/A for not applicable (3) There are no right or wrong answers All responses are confidential Only aggregate summaries will be reported No information you submit will be identified with you or your firm Your participation will help improve supply chain practices and information technology management Your firm will receive an executive summary report abstracted from the study This survey pertains to the business relationship between your firm and your major customer If you feel that there is an individual in your firm who is better qualified to complete this survey, please feel free to forward the survey to him/her If you have any questions or concerns, please contact: Honggeng (John) Zhou at (614) 688-4630, fax (614) 292-1272, or email zhou.68@osu.edu or Professor W.C Benton at (614) 292-8868 Thank you for your time and cooperation 243 Please refer to your primary product in answering the questions in this survey I The following questions are designed to measure the scope and quality of information sharing between your firm and your major customer A Please assess your firm’s information system capability in the following dimensions: [1 = Not Capable, = Highly Capable, N/A = Not Applicable] Not Highly Capable Capable N/A Information accuracy (VIA1) N/A Information availability (VIA2) N/A Real-time information (VIA3) N/A Internal connectivity (VIA4) N/A External connectivity (VIA5) N/A Updating information frequently (VIA6) N/A Information completeness (VIA7) N/A Information relevance (VIA8) N/A Information accessibility (VIA9) N/A B How often does your major customer ELECTRONICALLY provide your firm with its information in the following dimensions [1 = Never, = Annually, 3=Semi-annually, 4=Quarterly, 5=Monthly, 6=Weekly, 7=Daily, N/A = Not Applicable] Semi Never Annually Annually Quarterly Monthly Weekly Daily N/A Purchase order information N/A (VIB1) Changes in purchase order N/A information (VIB2) Planned order information N/A (VIB3) Inventory level information N/A (VIB4) Historical usage N/A information (VIB5) Product design N/A specifications (VIB6) Performance evaluation N/A information (VIB7) Future demand forecasting N/A information (VIB8) Production planning N/A information (VIB9) 10 Promotional planning N/A information (VIB10) 11 Sales information N/A (VIB11) 244 C How often does your firm ELECTRONICALLY provide your major customer with your firm’s information in the following dimensions [1 = Never, = Annually, 3=Semi-annually, 4=Quarterly, 5=Monthly, 6=Weekly, 7=Daily, N/A = Not Applicable] Semi Never Annually Annually Quarterly Monthly Weekly Daily N/A Finished goods inventory N/A information (VIC1) Production capacity N/A information (VIC2) Order status information N/A (VIC3) Production schedule N/A information (VIC4) Changes in production N/A schedules (VIC5) Delivery schedule information N/A (VIC6) Changes in delivery schedule N/A (VIC7) Lead time information for N/A products (VIC8) D What percentage of the information in the following dimensions does your major customer provide your firm in an ELECTRONICAL format [1 = 0-10% = 10-25%, 3=25-40%, 4=40-60%, 5=60-75%, 6=75-90%, 7=90-100%, N/A = Not Applicable] 0-10% 10-25% 25-40% 40-60% 60-75% 75-90% 90-100% N/A Purchase order information N/A (VID1) Changes in purchase order N/A information (VID2) Planned order information N/A (VID3) Inventory level information N/A (VID4) Historical usage information N/A (VID5) Product design specifications N/A (VID6) Performance evaluation N/A information (VID7) Future demand forecasting N/A information (VID8) Production planning N/A information (VID9) 10 Promotional planning N/A information (VID10) 11 Sales information (VID11) N/A 245 E What percentage of the information in the following dimensions does your firm provide to your major customer in an ELECTRONICAL format [1 = 0-10% = 10-25%, 3=25-40%, 4=40-60%, 5=60-75%, 6=75-90%, 7=90-100%, N/A = Not Applicable] 0-10% 10-25% 25-40% 40-60% 60-75% 75-90% 90-100% N/A Finished goods inventory N/A information (VIE1) Production capacity N/A information (VIE2) Order status information N/A (VIE3) Production schedule N/A information (VIE4) Changes in production N/A schedules (VIE5) Delivery schedule N/A information (VIE6) Changes in delivery N/A schedule (VIE7) Lead time information for N/A products (VIE8) II The following questions are designed to measure the use of information system support technologies including both hardware and software in your company Please indicate the amount of investment your company has in the following activities [1 = No Investment, = Moderate Investment, = Heavy Investment, N/A = Not Applicable] No Investment Automated material handling system (hardware) (VII1) 2 Advanced planning and scheduling software (VII2) Bar coding/automatic identification system (VII3) Computer-Aided Manufacturing (CAM) system (VII4) Computer Integrated Manufacturing (CIM) system (VII5) Computerized Statistical Process Control (SPC) with real-time feedback capability (VII6) Computer-aided design (CAD) system (VII7) Computer aided engineering (CAE) system (VII8) Computer-aided process planning (CAPP) system (VII9) 10 Electronic mail system (VII10) 11 Electronic data interchange (EDI) capability (VII11) 12 Enterprise Resource Planning systems (ERP) system (VII12) 13 E-procurement system (VII13) 14 Forecast/demand-management software (VII14) 15 Flexible Manufacturing Systems (FMS) (VII15) 16 Manufacturing resource planning (MRP II) system (VII16) 17 Material requirement planning (MRP) system (VII17) 18 Manufacturing Execution Systems (MES) (VII18) 19 Transportation/warehouse management software (WMS) (VII19) 246 Moderate Heavy Investment Investment N/A N/A N/A N/A N/A N/A N/A 3 3 3 4 4 4 5 5 5 6 6 6 7 7 7 N/A N/A N/A N/A N/A N/A 3 3 4 4 5 5 6 6 7 7 N/A N/A N/A N/A 3 4 5 6 7 N/A N/A N/A III The following questions are designed to measure the use of supply chain practices A To what extent have the following planning practices been implemented in your company [1 = Not Implemented, = Extensively Implemented, N/A = Not Applicable] Not Extensively Implemented Implemented N/A The use of historical data in the development of forecasts N/A (VIIIA1) The balancing of product lines on a daily basis (VIIIA2) N/A “What-if” analysis has been implemented for supply/demand N/A balancing (VIIIA3) A change in the demand information instantaneously N/A “reconfigures” the production and supply plans (VIIIA4) The demand management process is driven by customer N/A information (VIIIA5) Online visibility of supply-chain demand requirements N/A (VIIIA6) The designation of a supply chain planning team (VIIIA7) N/A Both marketing and manufacturing functions are involved in N/A supply chain planning process (VIIIA8) B To what extent have the following sourcing practices been implemented in your company [1 = Not Implemented, = Extensively Implemented, N/A = Not Applicable] Not Extensively Implemented Implemented N/A Designated procurement teams (VIIIB1) N/A Long-term relationships with strategic suppliers N/A (VIIIB2) Reduction in the number of suppliers (VIIIB3) N/A Suppliers’ involvement in product development N/A (VIIIB4) Just-in-time delivery from suppliers (VIIIB5) N/A Frequent measurement of suppliers’ performance N/A (VIIIB6) Frequent performance feedback to suppliers N/A (VIIIB7) 247 C To what extent have the following production practices been implemented in your company [1 = Not Implemented, = Extensively Implemented, N/A = Not Applicable] Not Extensively Implemented Implemented N/A Pull system (VIIIC1) N/A Cellular manufacturing (VIIIC2) N/A Cycle time reduction (VIIIC3) N/A Agile manufacturing strategy (VIIIC4) N/A Bottleneck/constraint removal (VIIIC5) N/A Preventive maintenance (VIIIC6) N/A Maintenance optimization (VIIIC7) N/A Safety improvement programs (VIIIC8) N/A Planning and scheduling strategies (VIIIC9) N/A 10 Total quality management (VIIIC10) N/A 11 Statistical process control (SPC) (VIIIC11) N/A 12 Formal continuous improvement program N/A (VIIIC12) 13 Six sigma techniques (VIIIC13) N/A 14 Self-directed work teams (VIIIC14) N/A 15 We use knowledge, skill, and capabilities as N/A criteria to select employees (VIIIC15) 16 Direct labor technical capabilities are N/A acknowledged (VIIIC16) 17 Employee cross training program (VIIIC17) N/A D To what extent have the following delivery practices been practiced in your company [1 = Not Practiced, = Extensively Practiced, N/A = Not Applicable] Not Extensively Practiced Practiced We deliver products to our major customer on a just-in-time basis (VIIID1) We respond to our major customer’s needs quickly (VIIID2) We have a single point of contact for all order inquiries (VIIID3) We have real time visibilities of order tracking (VIIID4) We consolidate orders by customers, sources, carriers, and etc (VIIID5) We use automatic identification during the delivery process to track order status (VIIID6) We maintain the capacities to respond to unplanned orders (VIIID7) We use cross-docking practice (VIIID8) Our major customer participates in our new-product development (VIIID9) 248 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A E To what extent have the following product return practices been practiced in your company [1 = Not Practiced, = Extensively Practiced, N/A = Not Applicable] Not Extensively Practiced Practiced N/A We have a set of specifications to verify the quality of N/A returned products (VIIIE1) We have a set of established quality test procedures (VIIIE2) N/A We have dedicated personnel, equipment & facilities to N/A process returned products (VIIIE3) We have documentation describing our product return N/A process (VIIIE4) Our product return process is easy for our major customer to N/A follow (VIIIE5) We have accurate forecasts of our product return rate N/A (VIIIE6) We allocate resources for our product returns during the N/A planning stage (VIIIE7) IV Please indicate whether you agree or disagree with the following statements about your business environment [1 = Strongly disagree, = Strongly agree, N/A = Not Applicable] Strongly Strongly Disagree Agree The total duration of the major product life cycle is long (VIV1) Existing products become outdated frequently (VIV2) New products account for a high fraction of total revenue (VIV3) Products and services are innovated frequently (VIV4) Our products are highly customized (VIV5) Our product demand is unpredictable (VIV6) 7 The innovation rate of operating processes is high (VIV7) Capital equipment becomes obsolete at a rapid rate (VIV8) 249 N/A N/A N/A N/A N/A N/A N/A N/A N/A V: The following questions relate to the performance of your firm Compared to your competitors, please indicate your position on the following dimensions [1 = Significantly lower, = Equal, = Significantly higher, N/A = Not Applicable] Significantly Significantly Lower Higher N/A Unit product cost of the primary product (VV1) N/A Unit direct labor cost of the primary product (VV2) N/A Unit material cost of the primary product (VV3) N/A Total manufacturing overhead cost (VV4) N/A Production volume flexibility (VV5) N/A Production labor flexibility (VV6) N/A Production mix flexibility (VV7) N/A Production lead times (VV8) N/A Vendor lead times (VV9) N/A 10 Cash-to-cash cycle times (VV10) N/A 11 Changeover/set-up times (VV11) N/A 12 Delivery to customer lead times (VV12) N/A 13 Product development cycle times (VV13) N/A 14 On-time delivery (VV14) N/A 15 Perfect order fulfillment rate (VV15) N/A 16 Delivery reliability/dependability (VV16) N/A 17 Sales revenue (VV17) N/A 18 Return on asset (ROA) (VV18) N/A 19 Return on sales (ROS) (VV19) N/A 20 Asset turnover rate (VV20) N/A 21 Earning Before Interest and Tax as % of revenue N/A (VV21) VIII General Information: Please provide some general information about yourself and your firm Your responses are confidential Absolutely no information you submit will be identified with you or your firm A What is your primary product? _ B What is your primary SIC code? _ C How is your primary product produced? (please check one ) Make-To-Stock: Standard parts are produced and stocked before a customer order is received Make-To-Order: Standard parts are not produced until a customer order is received Configure-To-Order: Subassemblies are first produced and stored and then assembled based on customer order Engineer-To-Order: Designed and produced based on customer order D What is the approximate number of employees in your company? _ E Is your firm a publicly traded firm? F _ Yes Is your firm a subsidiary of a publicly traded firm? _ No _ Yes _ No G Check the approximate category of the overall value of your sales to all of your customers $5 billion 250 Please print your company, name, title, and your contact information below (or staple your business card to this form) This information will be used for distributing the summary report Company name: Your name: _ Your title: _ Phone: Fax: Email: _ Please return completed survey by either fax or mail to: Honggeng (John) Zhou 600 Fisher Hall 2100 Neil Avenue Columbus, OH 43210 Telephone: (614) 688-4630 Fax: (614) 292-1272 Email: zhou.68@osu.edu If you wish to receive a hard copy of our research report, please check here If you wish to receive an electronic copy of our research report, please check here Thank you again for your time and cooperation in responding 251 ... has yet investigated the role of information sharing and supply chain processes in supply chain management under alternative supply chain dynamism that includes both supply chain business environment... manufacturing firms make investment in information sharing and supply chain processes? Especially, how should firms balance the investment in information sharing and supply chain processes? To date, there... participating in information sharing change? The study shows that the value of information sharing increases as the number of supply chain members participating in information sharing increases This

Ngày đăng: 02/11/2014, 00:47

Từ khóa liên quan

Mục lục

  • CONCLUSION

  • front matters.pdf

    • TABLE OF CONTENTS

    • Table

    • Page

    • Figure

    • Page

    • first two pages.pdf

      • THE ROLE OF SUPPLY CHAIN PROCESSES AND

      • INFOMRATION SHARING IN SUPPLY CHAIN MANAGEMENT

      • Presented in Partial Fulfillment of the Requirement for

          • Dissertation Committee: Approved by

          • first two pages-final.pdf

            • THE ROLE OF SUPPLY CHAIN PROCESSES AND

            • INFORMATION SHARING IN SUPPLY CHAIN MANAGEMENT

            • Presented in Partial Fulfillment of the Requirement for

                • Dissertation Committee: Approved by

                • appendix A 0814.pdf

                  • Appendix A

Tài liệu cùng người dùng

  • Đang cập nhật ...

Tài liệu liên quan