scholarly journals Research on Distribution and Inventory Cooperation of Agricultural Means Supply Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yanxin Zhu ◽  
Jiajing Wang ◽  
Lixian Liu

This paper constructed a biobjective model based on the total cost and time satisfaction to provide a desirable solution to the distribution and inventory cooperation of agricultural means supply chain. The model simulated how the distribution center and retailers collaborate to meet the needs of the order customer in the random lead time and out-of-stock loss costs. By the features of the model, the biobjective genetic algorithm was improved based on elitism selection, aiming to improve the quality of noninferior solution in biobjective model. Finally, the influence degree of the lead time of delivery, unit inventory cost, and unit transport cost on the total cost of the system was quantified through the analysis of examples and sensitivity of model parameters. This research has provided valuable new insights into the distribution and inventory coordination of supply chain.

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Petra Vrbová ◽  
Václav Cempírek

Abstract Managing inventory is considered as one of the most challenging tasks facing supply chain managers and specialists. Decisions related to inventory locations along with level of inventory kept throughout the supply chain have a fundamental impact on the response time, service level, delivery lead-time and the total cost of the supply chain. The main objective of this paper is to identify and analyse the share of a particular logistic model adopted in the Czech Republic (Consignment stock, Buffer stock, Safety stock) and also compare their usage and adoption according to different industries. This paper also aims to specify possible reasons of particular logistic model preferences in comparison to the others. The analysis is based on quantitative survey held in the Czech Republic.


2019 ◽  
Vol 53 (4) ◽  
pp. 1427-1451 ◽  
Author(s):  
Baishakhi Ganguly ◽  
Biswajit Sarkar ◽  
Mitali Sarkar ◽  
Sarla Pareek ◽  
Muhammad Omair

Recently, carbon emission becomes a major issue during transportation of products from one player to another player. Due to the increasing number of single-setup-multi-delivery (SSMD) policies by several industries, fixed and variable transportation cost and carbon emission cost are considered. The aim of the model is to reduce the total cost of supply chain for controlling the lead time and to diminish setup cost by a discrete investment. A premium cost is introduced and Stackelberg game policy is employed to obtain the analytical solution. Some numerical examples are given to validate the model. Sensitivity analysis and managerial insights are given to show the applicability of the model. Finally, the outcomes show that the model minimizes the optimum cost at the optimal values of the decision variables. It is found that the total cost is minimized when the multi-buyer is leader and vendor is follower.


2012 ◽  
Vol 472-475 ◽  
pp. 3312-3315
Author(s):  
Qin Lv

The optimization for profit coordination of the supply chain under elastic demand, which involves a two-level supply chain consisted of a supplier and a buyer, is discussed. Supplier supplies in JIT mode and supply chain members reduce lead-time through lead-time crashing to reduce costs. Based on game theory and the aim of minimizing the total cost of each party respectively, a two-level stackelberg leader-follower game model, in which buyer is the leader and supplier is the follower, is established. Buyer takes all the crashing cost and gives incentives to supplier to promote cooperation. A comparison is given among the profits of buyer, supplier and system after and not after lead-time crashing respectively, and the increased benefit among the three parties after lead-time crashing is analyzed, too. Finally, a numerical example and a simulation analysis are given to show the effect of the variations of the parameters on the increased benefit of buyer, supplier and system.


2020 ◽  
Vol 9 (1) ◽  
pp. 64-91
Author(s):  
Chaman Singh ◽  
S.R. Singh

Supply chain models with deteriorating items, season pattern demand, expiration and uncertain lead time, though common in practice; had received little attention from researchers. In this article, the authors proposed a collaborative system with ramp type seasonal pattern demand rate for expiring items with supplier's random lead time under crisp and fuzzy environment considering the effect of inflation and time value of money. For the seasonal kind of items, demand rate follows the combination of increasing-steady-decreasing demand patterns. A supplier's lead time is a stochastic function of his managing cost; thus, the extra costs incurred on the retailer due to the uncertainty in lead time in terms of shortages costs and lost sales costs are owed by the supplier. Numerical examples are cited to illustrate the results and its significant features. Finally, to study the effect of change of parameters sensitivity analysis is presented and necessary observations are made.


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