Process approach to supply chain integration

Purpose: Business renovation, the effective utilisation of information technology and the role of business process modelling and simulation are all vital in supply chain integration projects. The main idea is to show through a combination of these methods how the performance of the supply chain can be improved with the renovation and integration of processes at various tiers in the chain and by the sharing of information between companies.Methodology/Approach: Simulation-based methodology for measuring the benefits of the creation and renovation of business process models combines the methodology of developing process models and its simulation with the simulation of supply and demand. A procurement process in the oil/retail petrol industry is examined in a case study.Findings: Using the proposed methodology, different business process models can be investigated and simulated. The benefits for each company involved in the presented case are substantial and can be estimated through a simulation. Substantial benefits in costs, quality and lead times were identified, however, their distribution is not symmetric. Inter-organisational IS and applied technology were enablers for supply chain integration. However, organisational changes and new business models were prerequisites for obtaining those benefits.Practical implications: The process approach to supply chain integration presents a mechanism that can be applied to any industry. It represents a systematic methodological business renovation approach involving cost cuts, quality improvements and lead time improvements. The costs of supply chain integration projects were not studied. The benefits should be measured against the cost of testing the economic feasibility of such projects.Originality/value of paper: The effective utilisation of business process modelling and a simulation of the necessary business renovation is shown. The novel combination of business process and demand/supply simulation enables an estimation of changes in lead-times, process execution costs, quality of the process and inventory costs. Although the methodology is presented through a case study of the oil/retail petrol industry, it can also be used to estimate the benefits and monitor supply chain integration projects in other industries.

[1]  Ilias P. Tatsiopoulos,et al.  Design of an IT-driven decision support system for vehicle routing and scheduling , 2004, Eur. J. Oper. Res..

[2]  Kevin McCormack,et al.  Business Process Orientation: Gaining the E-Business Competitive Advantage , 2001 .

[3]  J. Ayers Supply-Chain Council , 2000 .

[4]  Jinxing Xie,et al.  The impact of information sharing and ordering co‐ordination on supply chain performance , 2002 .

[5]  Moreno Muffatto,et al.  Integration of web-based procurement and fulfillment: A comparison of case studies , 2004, Int. J. Inf. Manag..

[6]  Sergio Cavalieri,et al.  Simulation in the supply chain context: a survey , 2004, Comput. Ind..

[7]  R. Yin Case Study Research: Design and Methods, 3rd Edition , 2002 .

[8]  Hans-Erik Eriksson,et al.  Business Modeling with UML , 2001 .

[9]  F. Persson,et al.  Performance simulation of supply chain designs , 2002 .

[10]  M. Barratt Understanding the meaning of collaboration in the supply chain , 2004 .

[11]  John B. Kidd,et al.  Learning and trust in supply chain management , 2003 .

[12]  Mojca Indihar Stemberger,et al.  Assessment of E-Business Transformation Using Simulation Modeling , 2002, Simul..

[13]  Paul Harmon,et al.  Business Process Change: A Manager's Guide to Improving, Redesigning & Automating Process , 2002 .

[14]  Charles Tennant,et al.  The application of business process reengineering in the UK , 2005 .

[15]  D. Towill,et al.  Information enrichment: designing the supply chain for competitive advantage , 1997 .

[16]  Rajagopal,et al.  Buyer–supplier relationship and operational dynamics , 2009, J. Oper. Res. Soc..

[17]  Matthias Holweg,et al.  Supply chain simulation - a tool for education, enhancement and endeavour , 2002 .

[18]  Tom McGuffog,et al.  The general principles of value chain management , 1999 .

[19]  Arthur R. Tenner,et al.  Process Redesign: The Implementation Guide for Managers , 1996 .

[20]  Biren Prasad,et al.  Hybrid re-engineering strategies for process improvement , 1999, Bus. Process. Manag. J..

[21]  R. Yin Case Study Research: Design and Methods , 1984 .

[22]  Joe Peppard,et al.  Examining business process re-engineering : current perspectives and research directions , 1995 .

[23]  Srinagesh Gavirneni,et al.  Information Flows in Capacitated Supply Chains with Fixed Ordering Costs , 2002, Manag. Sci..

[24]  R. Handfield,et al.  The role of trust and relationship structure in improving supply chain responsiveness , 2002 .

[25]  George Q. Huang,et al.  The impacts of sharing production information on supply chain dynamics: A review of the literature , 2003 .

[26]  Hans Eriksson,et al.  Business Modeling With UML: Business Patterns at Work , 2000 .

[27]  Minder Chen,et al.  BPR Methodologies: Methods and Tools , 1999 .

[28]  Sunil Gupta,et al.  Supply Chain Decision Making: Will Shorter Cycle Times and Shared Point-of-Sale Information Necessarily Help? , 2004, Manag. Sci..

[29]  M. Naim,et al.  Assessing the impact of e-business on supply chain dynamics , 2004 .

[30]  K. Eisenhardt Building theories from case study research , 1989, STUDI ORGANIZZATIVI.

[31]  F. Chan,et al.  An innovative performance measurement method for supply chain management , 2003 .

[32]  Efraim Turban,et al.  Information Technology for Management: Making Connections for Strategic Advantage,3rd Edition , 2001 .

[33]  Friedrich Fröschl,et al.  Electronic Business Revolution , 1999 .

[34]  Rachel Burgess Avoiding Supply Chain Management Failure: Lessons from Business Process Re‐engineering , 1998 .

[35]  M. Venkatraman,et al.  Real Strategies for Virtual Organizing , 1998 .

[36]  R. V. Hoek,et al.  E‐supply chains – virtually non‐existing , 2001 .

[37]  Hong Chen,et al.  Optimal Control and Competitive Equilibrium of Production-Inventory Systems with Application to the Petroleum Refining Industry , 2006 .

[38]  George M. Giaglis,et al.  Integrating simulation in organizational design studies , 1999 .

[39]  P. J. Byrne,et al.  The impact of information sharing and forecasting in capacitated industrial supply chains: A case study , 2006 .

[40]  Wei Xu,et al.  Applying the Grey Prediction Model to Regional Logistics Demand Scale , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[41]  Dongsong Zhang Web Services Composition for Process Management in E-Business , 2005, J. Comput. Inf. Syst..

[42]  Kevin McCormack,et al.  The development of a supply chain management process maturity model using the concepts of business process orientation , 2004 .

[43]  David Bennett,et al.  An empirical study of the imperatives for a supply chain implementation project in Seagate Technology International , 2004 .

[44]  Reuven R. Levary,et al.  Evaluating the impact of electronic data interchange on the ingredient supply chain of a food processing company , 2002 .

[45]  Efraim Turban,et al.  Information Technology for Management , 1995 .

[46]  J. Peppard Information management in the global enterprise: an organising framework , 1999 .

[47]  Paul Humphreys,et al.  A strategic model for the formulation of an effective make or buy decision , 1997 .

[48]  D. Lambert,et al.  Issues in Supply Chain Management , 2000 .

[49]  U. Johansson,et al.  E-business and e-supply strategy in small and medium sized businesses (SMEs) , 2003 .

[50]  Jean Hartley,et al.  Case study research , 2004 .

[51]  Marshall L. Fisher,et al.  Supply Chain Inventory Management and the Value of Shared Information , 2000 .

[52]  C. Urquhart,et al.  The impact of information. , 1997, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[53]  T. Stank,et al.  BENEFITS OF INTERFIRM COORDINATION IN FOOD INDUSTRY SUPPLY CHAINS , 1999 .

[54]  Robert Rosenbaum,et al.  Supply chain excellence : a handbook for dramatic improvement using the SCOR model , 2007 .

[55]  H. Lau,et al.  On a responsive supply chain information system , 2000 .

[56]  Andrew Cox,et al.  The art of the possible: relationship management in power regimes and supply chains , 2004 .

[57]  Douglas C. White Advanced automation technology reduces refinery energy costs , 2005 .

[58]  A. Gunasekaran,et al.  A framework for supply chain performance measurement , 2004 .