Integrated supply chain model for deteriorating items with linear stock dependent demand under imprecise and inflationary environment

In this paper, a supply chain model with power form stock-dependent demand rate is developed, incorporating the effect of learning and inflationary environment. In order to bring their research closer to reality, all the cost parameters involved in the model are considered fuzzy in nature. The demand rate is assumed to be a polynomial form of current inventory level in Own-warehouse. To display the items, retailer has one warehouse of finite capacity, treated as own warehouse (OW) and may hire another warehouse of large capacity, treated as rented warehouse (RW) to storage the excess inventory. Learning effect is incorporated on retailer's selling price, purchasing cost, part of holding cost, deterioration cost and ordering cost. Proposed model is illustrated with some numerical example along with sensitivity analysis of parameters.

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An integrated supply chain model for deteriorating items considering delay in payments, imperfect quality and inspection errors under inflationary conditions

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture ◽

10.1177/0954405415620342 ◽

2016 ◽

Vol 231 (12) ◽

pp. 2197-2210 ◽

Cited By ~ 1

Author(s):

Mahvash Mahmoudinezhad ◽

Abolfazl Mirzazadeh ◽

Maryam Ghoreishi

Keyword(s):

Supply Chain ◽

Deteriorating Items ◽

Chain Model ◽

Inspection Errors ◽

Imperfect Quality ◽

Supply Chain Model ◽

Delay In Payments ◽

Integrated Supply Chain

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Two-echelon imperfect production fuzzy supply chain model for reliability dependent demand with probabilistic deterioration and rework

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-200562 ◽

2021 ◽

pp. 1-15

Author(s):

Sudip Adak ◽

G.S. Mahapatra

Keyword(s):

Supply Chain ◽

Production Rate ◽

Production Cost ◽

Idle Time ◽

Chain Model ◽

Specific Time ◽

Defective Items ◽

Imperfect Production ◽

Supply Chain Model ◽

Dependent Demand

This paper develops a fuzzy two-layer supply chain for manufacturer and retailer with defective and non-defective types of products. The manufacturer produces up to a specific time, including faulty and non-defective items, and after the screening, the non-defective item sends to the retailer. The retailer’s strategy is to do the screening of items received from the manufacturer; subsequently, the perfect quality items are used to fulfill the customer’s demand, and the defective items are reworked. The retailer considers that customer demand is time and reliability dependent. The supply chain considers probabilistic deterioration for the manufacturer and retailers along with the strategies such as production rate, unit production cost, cost of idle time of manufacturer, screening, rework, etc. The optimum average profit of the integrated model is evaluated for both the cases crisp and fuzzy environments. Managerial insights and the effect of changes in the parameters’ values on the optimal inventory policy under fuzziness are presented.

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