Multi-Objective Inventory Model with Lead-Time and Defective Items
Sandipa Bhattacharya1, Seema Sarkar Mondal2

1Sandipa Bhattacharya*, Department of Mathematics, National Institute of Technology, Durgapur, West Bengal,  India.
2Seema Sarkar (Mondal), Department of Mathematics, National Institute of Technology, Durgapur, West Bengal, India. 

Manuscript received on November 14, 2019. | Revised Manuscript received on 24 November, 2019. | Manuscript published on December 10, 2019. | PP: 2415-2420 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6482129219/2019©BEIESP | DOI: 10.35940/ijitee.B6482.129219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Inventory problem are generally classified under decision making problem where lead time plays an important role in performance and services to customers during supply and placement of order of an item orders can be placed in shorter lead time with higher price or in longer lead time with lower cost. In this paper we have formulated multi-objective inventory model with one objective of minimizing the total inventory cost and other objective of maintaining the quality of the product by discarding the defective items. The model involved the deterministic demand, lead time dependent lead time cost, holding cost, ordering cost and inspection cost for inspecting defective items. The techniques of priority goal programming and genetic algorithm are applied and the results are compared. The sensitivity analysis is explained due to restriction in cost parameter. The model is finally illustrated with a numerical example. 
Keywords: Lead Time, Customer Service level, Goal Programming, Priority goal Programming.
Scope of the Article: Advanced Computing Architectures and New Programming Models