Creating a model to facilitate the allocation of materials planning resources in engineering change situations

Shortened product development times and more frequent product changes combined with product quality and timeliness of delivery are prerequisites of competitiveness. These have increased the workload and underscored the importance of effectively managing the materials planning process in engineering change situations. The purpose of this paper is to develop a procedure for creating a model to differentiate between items in order to facilitate the allocation of materials planning resources in change situations. It develops a procedure in the framework of the study and verifies it using the case study technique. Furthermore, the case study shows that there are many different engineering change situations that occur in the materials planning process. Many engineering change variables and materials planning variables have a major impact on the material scrap costs and material shortage costs, but only a few generate the different types of engineering change situations for the materials planning process. The case study shows that material scrap costs and material shortage costs decrease after the introduction of a tool to differentiate between items to facilitate the allocation of materials planning resources.

[1]  Janne Huiskonen,et al.  Maintenance spare parts logistics: Special characteristics and strategic choices , 2001 .

[2]  V. Sridharan,et al.  Linking manufacturing planning and control to the manufacturing environment , 1995 .

[3]  Murugan Anandarajan,et al.  Classifying inventory using an artificial neural network approach , 2002 .

[4]  Hal Mather.  Bills of materials , 1987 .

[5]  Ashok Kochhar,et al.  A rule‐base for the specification of manufacturing planning and control system activities , 2002 .

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

[7]  C. Apte,et al.  Data mining with decision trees and decision rules , 1997, Future Gener. Comput. Syst..

[8]  Keith R. Plossl.  Engineering for the control of manufacturing , 1987 .

[9]  Jerrt Clement,et al.  Manufacturing Data Structures; Building Foundations for Excellence with Bills of Materials and.. , 1992 .

[10]  H Mather,et al.  Reschedule the reschedules you just rescheduled - Way of life for MRP? , 1977 .

[11]  Stig Arne Mattsson,et al.  The selection and application of material planning methods , 2002 .

[12]  Carl Wänström,et al.  The impact of engineering changes on materials planning , 2006 .

[13]  E. Ziegel.  Juran's Quality Control Handbook , 1988 .

[14]  Chrwan-Jyh Ho,et al.  Evaluating the impact of frequent engineering changes on MRP system performance , 1994 .

[15]  Mats I. Johansson,et al.  Engineering Change from a Logistics Perspective , 2001 .

[16]  William L. Berry,et al.  Linking Systems to Strategy , 1992 .

[17]  B. G. Dale,et al.  Interchangeability: the key to effective engineering change control , 1989 .

[18]  M. Christopher.  Logistics and Supply Chain Management: Strategies for Reducing Cost and Improving Service (Second Edition) , 1999 .

[19]  Jennifer Rowley,et al.  Revisiting decision trees , 1995 .

[20]  Gary J. Koehler,et al.  PAC-learning a decision tree with pruning , 1996 .

[21]  C. Gopinath,et al.  LINKING COMPETITIVE STRATEGY AND MANUFACTURING PROCESS TECHNOLOGY , 1995 .

[22]  Sander de Leeuw,et al.  Distribution control at exhaust systems Europe , 1996 .

[23]  Lee J. Krajewski,et al.  Kanban, MRP, and Shaping the Manufacturing Environment , 1987 .

[24]  Christoph H. Loch,et al.  Accelerating the process of engineering change orders: capacity and congestion effects , 1999 .

[25]  Eileen M. Van Aken,et al.  Applying an Enterprise Engineering Approach to Engineering Work: A Focus on Business Process Modeling , 2002 .