Optimal replenishment policy for non-instantaneously perishable items with preservation technology and random deterioration start time

Pal, Haimanti; Bardhan, Sudarshan; Giri, Bibhas C.

doi:10.1080/17509653.2017.1372228

Cited by 25 publications

(9 citation statements)

References 55 publications

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“…Ghasemi (2015) [ 11 ] developed a classical economic production quantity model for non-instantaneous deteriorating items by considering a relationship between the holding cost and the ordering cycle length. Pal et al (2018) [ 12 ] developed an inventory model for non-instantaneous deteriorating items with a preservation technology and a random staring time of deterioration. In their model, shortages are allowed or partially backlogged.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing multi-supplier multi-item joint replenishment problem for non-instantaneous deteriorating items with quantity discounts

Yue

et al. 2021

PLoS ONE

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This paper deals with a new joint replenishment problem, in which a number of non-instantaneous deteriorating items are replenished from several suppliers under different quantity discounts schemes. Involving both joint replenishment decisions and supplier selection decisions makes the problem to be NP-hard. In particular, the consideration of non-instantaneous deterioration makes it more challenging to handle. We first construct a mathematical model integrated with a supplier selection system and a joint replenishment program for non-instantaneous deteriorating items to formulate the problem. Then we develop a novel swarm intelligence optimization algorithm, the Improved Moth-flame Optimization (IMFO) algorithm, to solve the proposed model. The results of several numerical experiments analyses reveal that the IMFO algorithm is an effective algorithm for solving the proposed model in terms of solution quality and searching stableness. Finally, we conduct extensive experiments to further investigate the performance of the proposed model.

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Section: Literature Reviewmentioning

confidence: 99%

Optimizing multi-supplier multi-item joint replenishment problem for non-instantaneous deteriorating items with quantity discounts

Yue

et al. 2021

PLoS ONE

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“…Dye et al [5] investigated an integrated model to determine the dynamic pricing and preservation technology (PT) investment in system. Pal et al [24] explored an inventory model for deteriorating products with constant demand rate. In order to reduce the deterioration rate, they considered preservation technology (PT).…”

Section: Introductionmentioning

confidence: 99%

An EPQ model with two-level trade credit and multivariate demand incorporating the effect of system improvement and preservation technology

Kumar¹,

Kumar²,

Kumari³

2021

Malaya J. Mat.

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Nowadays every decision-maker from production industries is more concern with the system improvement. They also focused in adopting different marketing strategies to make their production system as successful system. In the current study, a production quantity model is explored for deteriorating item by considering volume flexibility. Multivariate demand is considered in the model which is the function of promotional efforts, selling price, and credit period. An additional investment is made by the decision-maker to improve the system quality and reduce the deterioration rate. Whole of the analysis is carried out under the effect of inflation. Profit function of the current study is nonlinear so a search algorithm is suggested to obtain the optimal values of selling price, production time, and production rate. At the end, numerical analysis along with sensitivity is executed to validate the model and to observe the effect of different parameters on the optimal solution of the problem.

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“…Contrasting to the random yield, the circulation loss of fresh produce items usually occurs after a farmer delivers products. Generally, the circulation loss of them can be managed by applying the preservation-technology activities [1,[6][7][8][9][10][11], improving warehouse and transportation processes [12,13] or using risk-sharing contracts [14][15][16][17][18][19][20][21][22][23]. The investment in such activities can reduce circulation loss rate and consequently can increase the available quantity of fresh produce items, and the coordination in such contracts can enhance the performance of the FSC system and its parties.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Simulation of Fresh-Product Supply Chain Considering Random Circulation Losses

Fang¹,

Wang²,

Yuan³

et al. 2020

Int. j. simul. model.

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Random circulation losses of fresh products are also a great challenge that affects the decision-making of farmers and enterprises as well as the revenue management of both parties. Considering a freshproduct supply chain (FSC) comprising a single enterprise and a single farmer with random circulation losses, we explore the optimal ordering of the enterprise, optimal planting of the farmer, and risksharing mechanism of both participants. After modelling the optimal decision model of centralized FSC, we solve the optimal global solutions that exist uniquely. Then, a risk-sharing contract, called a wholesale price contract, is designed that can coordinate the decentralized FSC. Finally, a simulation of sensitivity analysis using MATLAB soft is figured out to explore the influence of random risks on the optimal solutions and the contract parameters. Furthermore, some conclusions and future researches are given.

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Optimal replenishment policy for non-instantaneously perishable items with preservation technology and random deterioration start time

Cited by 25 publications

References 55 publications

Optimizing multi-supplier multi-item joint replenishment problem for non-instantaneous deteriorating items with quantity discounts

Optimizing multi-supplier multi-item joint replenishment problem for non-instantaneous deteriorating items with quantity discounts

An EPQ model with two-level trade credit and multivariate demand incorporating the effect of system improvement and preservation technology

Modelling and Simulation of Fresh-Product Supply Chain Considering Random Circulation Losses

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