ROLE OF OPTIMAL PRODUCTION PLAN AT THE FOCAL FIRM IN
OPTIMIZATION OF THE SUPPLY CHAIN

ROLE OF OPTIMAL PRODUCTION PLAN AT THE FOCAL FIRM IN OPTIMIZATION OF THE SUPPLY CHAIN

Journal

  • Journal title: Journal of Management and Research (JMR)
  • ISSN: 2218-2705 (print) 2519-7924 (online)
  • Publisher: University of Management and Technology
  • Country of publisher: pakistan
  • Date added to EuroPub: 2019/Nov/22

Subject and more

  • LCC Subject Category: Business, Management, Organizational Science, Economics, Entrepreneurship, Human Resource Management
  • Publisher's keywords: Supply chain management, optimization, aggregate production planning, supply chain optimization, network models
  • Language of fulltext: english
  • Full-text formats available: PDF
  • Time From Submission to Publication:

AUTHORS

    M.M. HARIS ASLAM, KAMRAN RASHID, TASHFEEN M. AZHAR

FULL TEXT

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ABSTRACT

Supply chain management and optimization is a critical aspect of modern enterprises and an expanding area of research. Modeling and optimization are the traditional tools of supply chain management. The techniques have been used by many companies for planning, manufacturing, and other decision areas in supply chains. Current study is motivated by the fact that optimization studies in supply chain management have mostly considered network optimization. Supply chain management however, requires alignment between the supply chain partners at the tactical level. As a first step towards achieving this goal, current study presents a model that incorporates the activity level planning at the focal firm in a supply chain. This paper presents a new mixed integer programming model that incorporates optimization of production planning at the focal firm while optimizing the strategic alignment of the supply chain entities. The model represents a four step, multi-echelon supply chain including supplier, warehouse, manufacturer, and retailer. The manufacturer in this network represents the focal firm. This model is an attempt to integrate the production planning decisions in the network optimization decisions.

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