S.R. Singh

Bio: S.R. Singh is an academic researcher from Chaudhary Charan Singh University. The author has contributed to research in topics: Holding cost & Supply chain. The author has an hindex of 18, co-authored 133 publications receiving 1023 citations. Previous affiliations of S.R. Singh include Banasthali Vidyapith & P.G. College.

Two echelon supply chain model for deteriorating items with effective investment in preservation technology

Abstract: The objective of this study is to develop a model for a two echelon supply chain, in which retailers’ demand is seasonal with expiration date and he invests on the preservation technology to reduce the rate of product deterioration. This paper examines consumers’ response to expiration dates for grocery store perishable products. We develop a conceptual framework that captures the frequency with which consumers check expiration dates and their willingness to pay for a perishable over its shelf-life.A solution procedure is presented to determine an optimal replenishment cycle, shortage period and preservation technology cost such that the net profit for the supply chain is maximised. A numerical example and sensitivity analysis are given to illustrate the model.

Retailer's optimal policy under inflation in fuzzy environment with trade credit

Abstract: Trade credit plays an important role in financing many industries. In the classical inventory model it is assumed that the buyer must pay for the items as soon as the items are received. In this problem, it is considered that the retailer can pay the supplier either at the end of the credit period or later pay interest on the unpaid amount for the overdue period. Here, the retailer's inventory model for the optimal cycle time and payment time for a retailer is developed. The effects of the inflation rate, deterioration rate and delay in payment have been discussed. The whole study is performed in a fuzzy environment by taking the opportunity cost, interest earned and interest paid rate as a triangular fuzzy number. Fuzzy profit functions, which involve fuzzy arithmetic operation, are defined using the function principle. We use the signed distance method to defuzzify the fuzzy profit function. Moreover, numerical and sensitivity analysis is performed to validate the proposed model.

A Global Optimizing Policy for Decaying Items with Ramp-Type Demand Rate under Two-Level Trade Credit Financing Taking Account of Preservation Technology

Abstract: An inventory system for deteriorating items, with ramp-type demand rate, under two-level trade credit policy taking account of preservation technology is considered. The objective of this study is to develop a deteriorating inventory policy when the supplier provides to the retailer a permissible delay in payments, and during this credit period, the retailer accumulates the revenue and earns interest on that revenue; also the retailer invests on the preservation technology to reduce the rate of product deterioration. Shortages are allowed and partially backlogged. Sufficient conditions of the existence and uniqueness of the optimal replenishment policy are provided, and an algorithm, for its determination, is proposed. Numerical examples draw attention to the obtained results, and the sensitivity analysis of the optimal solution with respect to leading parameters of the system is carried out.

An economic order quantity model for deteriorating products having stock dependent demand with trade credit period and preservation technology

Abstract: Article history: Received April 20, 2015 Received in revised format May 10, 2015 Accepted August 8 2015 Available online August 11 2015 The objective of this study is to develop of an inventory policy for deteriorating items, in which demand for the products is stock dependent and the retailer invests in preservation technology to reduce the rate of product deterioration. In many real-life situations, for certain types of consumer goods, the consumption rate is sometimes influenced by the stock-level. It is usually observed that a large pile of goods on a shelf in a supermarket will lead the customer to buy more and then generate higher demand. The consumption rate may go up or down with the onhand stock level. This paper is developed with the realistic conditions of demand, allowable credit period, partial backlogging and variable ordering cost. A solution procedure is given to find the optimal preservation technology cost and total cost of the system. A numerical example and sensitivity analysis are presented to illustrate the model. Growing Science Ltd. All rights reserved. 6 © 201

Coordinating a supply chain for deteriorating items with a revenue sharing and cooperative investment contract

Abstract: In this study, a one-manufacturer–one-retailer supply chain model for deteriorating items with controllable deterioration rate and price-dependent demand is developed, in which both players cooperatively invest in preservation technology to reduce deterioration. Algorithms are designed to obtain the pricing and preservation technology investment strategies in both integrated and decentralized scenarios. It is shown that cooperative investment strategy benefits the manufacturer but damages the profits of the retailer and the whole supply chain. A revenue sharing and cooperative investment contract, which combines revenue sharing and cost sharing mechanisms, is thus designed to coordinate the supply chain. Numerical simulations and sensitivity analysis of the equilibrium strategies and coordinating results on key system parameters are given to verify the effectiveness of the contract, and meanwhile get some managerial insights. The results show that only when the revenue sharing rate lies roughly between 1/2 and 3/4 can the contract perfectly coordinate the supply chain in most cases, which has an important guiding significance for the supply chain coordination of deteriorating items when considering preservation technology investment.

Supply chain resilience: a dynamic and multidimensional approach

Abstract: The purpose of this paper is to present a conceptual framework on resilience types in supply chain networks.,Using a complex adaptive systems perspective as an organizing framework, the paper explores three forms of resilience: engineering, ecological and evolutionary and their antecedents and links these to four phases of supply chain resilience (SCRES): readiness, response, recovery, growth and renewal.,Resilient supply chains need all three forms of resilience. Efficiency and system optimization approaches may promote quick recovery after a disruption. However, system-level response requires adaptive capabilities and transformational behaviors may be needed to move supply chains to new fitness levels after a disruption. The three resilience types discussed are not mutually exclusive, but rather complement each other and there are synergies and tradeoffs among these resilience types.,The empirical validation of the theoretical propositions will open up new vistas for supply chain research. Possibilities exist for analyzing and assessing SCRES in multiple and more comprehensive ways.,The findings of the research can help managers refine their approaches to managing supply chain networks. A more balanced approach to supply chain management can reduce the risks and vulnerabilities associated with supply chain disruptions.,This study is unique as it conceptualizes SCRES in multiple ways, thereby extending our understanding of supply chain stability.