An integration of assembly planning by design into supply chain planning

A supply chain needs to consider the quality of a product as well as the quality of manufacturing process to satisfy customer requirements at efficient resources planning in terms of safety stock allocation and vendor–buyer coordination. The objective of this article is to use an axiomatic approach to make assembly planning by designing and integrating assembly into supply chain planning, particularly during supply chain reconfiguration. The effect of fixture layout planning, the accuracy of demand forecast, and the supplier capability of providing the required material quality are studied. An optimum supply chain network is configured by combining the product, assembly, and supply chain planning. Heuristic-based optimization is used to validate the proposed solution. The performance of the system is measured in terms of lead time variability, the number of backorders, and the level of safety stock. The results and analysis indicate that the axiomatic approach is capable of reducing the assembly variation and employing necessary fixture layout planning to deliver product intents. In addition, the reduction of assembly variation also reduces the safety stock, lead time variability, and backorders. Finally, management decision making is discussed among other concluding remarks.

[1]  Darek Ceglarek,et al.  Quality-driven Sequence Planning and Line Configuration Selection for Compliant Structure Assemblies , 2005 .

[2]  Steven D. Eppinger,et al.  Special Issue on Design and Development: Sourcing By Design: Product Complexity and the Supply Chain , 2001, Manag. Sci..

[3]  Benita M. Beamon,et al.  A multi-objective approach to simultaneous strategic and operational planning in supply chain design , 2000 .

[4]  M. Y. Wang,et al.  An optimum design for 3-D fixture synthesis in a point set domain , 2000, IEEE Trans. Robotics Autom..

[5]  Durk-Jouke van der Zee,et al.  Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics , 2009 .

[6]  P. A. Hayek,et al.  Production lot sizing with the reworking of imperfect quality items produced , 2001 .

[7]  Zhenyu Kong,et al.  Stream-of-Variation Modeling—Part I: A Generic Three-Dimensional Variation Model for Rigid-Body Assembly in Single Station Assembly Processes , 2007 .

[8]  Jin Sun,et al.  Optimisation of assembly sequences for compliant body assemblies , 2009 .

[9]  Y. K. Tse,et al.  Managing product quality risk in a multi-tier global supply chain , 2011 .

[10]  Hussain A. H. Awad,et al.  Supply Chain Integration : Definition and Challenges , 2022 .

[11]  S. O. Tromp,et al.  Simulation modelling for food supply chain redesign , 2010 .

[12]  Gilles Reinhardt,et al.  The Effect of Lead Time Uncertainty on Safety Stocks , 2004, Decis. Sci..

[13]  Qiang Li,et al.  Virtual reality for fixture design and assembly , 2009 .

[14]  Prakash,et al.  Solving a fixture configuration design problem using genetic algorithm with learning automata approach , 2005 .

[15]  Daniel W. Apley,et al.  Singularity Issues in Fixture Fault Diagnosis for Multi-Station Assembly Processes , 2004 .

[16]  Kazuhiro Saitou,et al.  Integrated synthesis of assembly and fixture scheme for properly constrained assembly , 2005, IEEE Transactions on Automation Science and Engineering.

[17]  Singa Wang Chiu,et al.  Robust planning in optimization for production system subject to random machine breakdown and failure in rework , 2010, Comput. Oper. Res..

[18]  Liang Gao,et al.  Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling , 2010, Comput. Oper. Res..

[19]  H. Harry Asada,et al.  Kinematic analysis of workpart fixturing for flexible assembly with automatically reconfigurable fixtures , 1985, IEEE J. Robotics Autom..

[20]  Ali A. Yassine,et al.  Architectural Valuation using the Design Structure Matrix and Real Options Theory , 2007, Concurr. Eng. Res. Appl..

[21]  Z. M. Bi,et al.  Flexible fixture design and automation: Review, issues and future directions , 2001 .

[22]  G. Boothroyd Design for assembly—The key to design for manufacture , 1987 .

[23]  Sameer Kumar,et al.  Managing recalls in a consumer product supply chain – root cause analysis and measures to mitigate risks , 2011 .

[24]  Qiang Zhou,et al.  Integrating GD&T into dimensional variation models for multistage machining processes , 2010 .

[25]  B. Beamon Supply chain design and analysis:: Models and methods , 1998 .

[26]  Pierre Bourdet,et al.  Assembly sequence influence on geometric deviations propagation of compliant parts , 2011 .

[27]  Darek Ceglarek,et al.  Process Yield Improvement Through Optimum Design of Fixture Layouts in 3D Multistation Assembly Systems , 2008 .

[28]  Lai Xinmin,et al.  Robust fixture layout design for multi-station sheet metal assembly processes using a genetic algorithm , 2009 .

[29]  Yuan-Jye Tseng,et al.  A multi-plant tolerance allocation model for products manufactured in a multi-plant collaborative manufacturing environment , 2009 .

[30]  Arthur C. Sanderson,et al.  Assembly Sequence Planning , 1990, AI Mag..

[31]  James Aaron Wolters Optimizing the assembly sequence of an aerospace manufacturing process , 2000 .

[32]  Kamel Rouibah,et al.  Change management in concurrent engineering from a parameter perspective , 2003, Comput. Ind..

[33]  Yohanes Kristianto,et al.  Designing supply chain by coordinating manufacturing process and product development process , 2010 .