Investigation of Task Bottleneck Generalized Assignment Problems in Supply Chain Optimization Using Heuristic Techniques

Journal Title: IOSR journal of Business and Management - Year 2018, Vol 20, Issue 5

Abstract

This paper aims to look at the notion of optimization in a supply chain to avoid bottlenecks that exists frequently in manufacturing area. Supply chain consists of raw material supplier, manufacturer, wholesaler, retailer and customer. Here attention is given to a specific chain link called process operations in which the inspection line process operations of Liquefied Petroleum Gas (LPG) cylinder manufacturing unit is studied. Task Bottleneck Generalized Assignment Problem (TBGAP) aims at assigning the suitable quality supervisors to each process inspection stages and at the same time avoid the bottleneck in all these process inspection stages. Here optimizing the inspection time of the individual process inspection stage and the effective functioning of quality supervisors assigned, treated as one of the chain level optimization in the outsourcing of supply chain. The inspection time of the process operations analyzed using heuristic techniques namely Lexi Search methodology and Genetic algorithms. The outcome would be treated as the optimal solution in terms of inspection time reduction and saving manufacturing cost, whichever shows effect on the minimizing the maximum manufacturing cost, and time bound assignment.

Authors and Affiliations

Dr. V. Kalyana Chakravarthy, Dr. V. V. Venkata Ramana, Dr. C. Umashankar

Keywords

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  • EP ID EP411214
  • DOI 10.9790/487X-2005054147.
  • Views 37
  • Downloads 0

How To Cite

Dr. V. Kalyana Chakravarthy, Dr. V. V. Venkata Ramana, Dr. C. Umashankar (2018). Investigation of Task Bottleneck Generalized Assignment Problems in Supply Chain Optimization Using Heuristic Techniques. IOSR journal of Business and Management, 20(5), 41-47. https://europub.co.uk/articles/-A-411214