https://cyberleninka.org/article/n/662470.pdf

Literature review of deteriorating inventory models by key topics from 2012 to 2015

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.

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

A review of mathematical inventory models for reverse logistics and the future of its modeling: An environmental perspective

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.

Supply chain resilience: a dynamic and multidimensional approach

Coordinating a three-echelon fresh agricultural products supply chain considering freshness-keeping effort with asymmetric information

Most of inventory control policies are very sensitive to different marketing strategy (especially in chemical, food and automotive industries) under the learning effect. Realising the importance that there is a functional relationship between demand rate and advertisement frequency of such inventory, a marketing model is developed for determining the economic order quantity and backorder level. This model also incorporates the effect of learning in holding cost, ordering cost and on the number of defective items present in each lot. Profit expression is fuzzy due to impreciseness in demand. In order to determine the optimal values, we obtained equivalent crisp expression by applying signed distance method. In place of complex and tedious method of calculus a closed form solution is obtained by using algebraic method. A numerical example is presented to study the feasibility and applicability of the proposed model.

Effect of demand boosting policy on optimal inventory policy with backorder in fuzzy environment under the effect of learning

In the changing market scenario, supply chain management is getting phenomenal importance amongst researchers. Studies on supply chain management have emphasized the importance of a long-term strategic relationship between the manufacturer, distributor and retailer. In the present paper, a model has been developed by assuming that the demand rate and production rate as triangular fuzzy numbers and items deteriorate at a constant rate. The expressions for the average inventory cost are obtained both in crisp and fuzzy sense. The fuzzy model is defuzzified using the fuzzy extension principle, and its optimization with respect to the decision variable is also carried out. Finally, an example is given to illustrate the model and sensitivity analysis is performed to study the effect of parameters.

http://www.doiserbia.nb.rs/img/doi/0354-0243/2011/0354-02431101047S.pdf

An integrated supply chain model for the perishable items with fuzzy production rate and fuzzy demand rate

This paper presents an inventory system for deteriorating pharmaceutical items with price-sensitive demand. Mostly existing studies of pharmaceutical inventory models consider the rate of deterioration as constant, which is not logical in the context of healthcare industries because pharmaceutical products (medicine or drugs) deteriorate significantly. Hence, the rate of deterioration is considered as time-dependent and follows a three-parameter Weibull distribution. In most of the developed models it is believed that the different costs related with inventory remain the same all the time whereas in realistic situations, manufacturing cost of medicine, the cost of maintaining the pharmaceutical products in the cold store or even the cost of keeping the patient’s record increases with time. Thus, the cost of the holding of items is taken as time-dependent. Shortages are allowed in this study and are partially backlogged. The main objective of this study is to optimize the total average cost of the system by computing the optimal ordering quantity and the optimal time interval. Finally, a numerical illustration with sensitivity analysis is given to exemplify the proposed study.

/pdf/an-inventory-system-for-varying-deteriorating-pharmaceutical-5743qced7q.pdf

An inventory system for varying deteriorating pharmaceutical items with price-sensitive demand and variable holding cost under partial backlogging in healthcare industries

Nowadays, more concentration is being given to cut down in resource utilisation and ecosystem safety due to rising competitive stress, shortened life cycle and ecological awareness. Green manufacturing has attained much interest in recent times, because its concept of product design noticeably affects the various cost related to the process of remanufacturing and recycling. This article considers an integrated production inventory system for multi–items. The proposed model is based on the vendor managed strategy with the concept of green approach through remanufacturing. A non–linear problem is formulated for the purpose of total cost minimisation and solved using genetic algorithm. A numerical example is presented to illustrate the model. Also, the effects of parameters involved in the modelling are examined with the help of sensitivity analysis. This study can provide the decision–making outline for enhancing the structure of a green–supply chain.

Joint replenishment modelling of a multi–item system with greening policy and volume flexibility

The present paper deals with a production inventory system for non-instantaneous deteriorating items with demand dependent production rate. It is assumed that demand rate is exponentially increasing function of time. Shortages are considered and partially backordered at a rate of decreasing function of waiting time for next replenishment. Herein, two cases for life time approach regarding the production stopping time point have been studied separately. The numerical examples have been provided separately to illustrate each case. Finally, sensitivity analysis has also been made to show the behaviour of presented model in each case.

S.R. Singh

Papers

Effect of demand boosting policy on optimal inventory policy with backorder in fuzzy environment under the effect of learning

An integrated supply chain model for the perishable items with fuzzy production rate and fuzzy demand rate

An inventory system for varying deteriorating pharmaceutical items with price-sensitive demand and variable holding cost under partial backlogging in healthcare industries

Joint replenishment modelling of a multi–item system with greening policy and volume flexibility

A partially backlogged EPQ model with demand dependent production and non-instantaneous deterioration