The objective of this work is to present an improved inventory system with fuzzy constraints dealing two warehouses system-own and rented. In the model, we analyze under consideration without shortages assumptions linear demand function (increasing time). Generally, in today’s business scenario for sessional products, some like storage cost, deteriorating ordering cost change their original val...

Abstract The aim of this research work is to come out with an inventory model without shortages involving set-up cost and holding as imprecise variables. uncertainty chosen fuzzy number in triangularized form the graded mean integration method applied defuzzify parameters. effect defuzzification explained by analyzing for different input values through numerical examples.

This paper presents a multi-product multi-period inventory problem with random replenishment intervals and fuzzy costs under space and shortage level constraints. Since the costs (purchasing, holding and backordering) related to inventory system are often imprecise and the replenishment intervals are random in real life, the proposed model is also fuzzy-random Here, the replenishment intervals ...

inventory management in production-remanufacturing system has been receiving a great deal of attention in recent years. in literature review, production environment is composed of two sections. the first section is included: production process, remanufacturing process and other options considered in reverse logistics. the second section is included: collection and sorting processes. determinati...

This study proposes a new multi-item inventory model with hybrid cost parameters under a fuzzy-stochastic constraint and permissible delay in payment. The price and marketing expenditure dependent stochastic demand and the demand dependent the unit production cost are considered. Shortages are allowed and partially backordered. The main objective of this paper is to determine selling price, mar...

The modern business environment is highly unpredictable. An anticipation approach in a real case study is presented to cope with such instability and minimize the total inventory cost without stock-outs occurring and inventory capacity being exceeded. The anticipation concept is performed using simulation models supported by inventory control algorithms on a selected sample of representative it...

in this model, we establish an inventory model to determine the optimal inventory replenishment scheme for the economic production quantity (epq) model for imperfect, deteriorating items with sales return service under multiple production and rework setup. in one cycle, production process can produces the products in m production setups and reworks the defective items in one rework setup. the c...

In this paper, fuzzy economic order quantity (EOQ) model for inventory system with partial backorder is proposed. The fuzzy total relevance cost of the model is calculated under function principle. The optimal EOQ is derived using median rule. Fuzzy variables are appropriate when the exact information is unavailable. In the proposed model, the optimal solution for the fuzzy EOQ model is higher ...