Abstract

In this paper, a supply-chain (SC) coordination method based on the lead-time crashing is proposed for a seller–buyer system. By considering different transportation modes, we control the lead-time (LT) variability. For the first time, we have attempted to determine the impact of the reliable and unreliable seller in a continuous-review supply-chain model under the stochastic environment. The authors discussed two reliability cases for the seller. First, we consider the seller is unreliable and in the second case, the seller is reliable. In addition, the demand during the lead time is stochastic with the known mean and variance. The proposed approach tries to find an optimal solution that performs well without a specific probability distribution. Besides, a discrete investment is made to reduce the setup cost, which will indirectly help supply-chain members to increase the total profit of the system. In the proposed model, the seller motivates the buyer by reducing lead time to take part in coordinating decision-making for the system’s profit optimization. We derive the coordination conditions for both members, the seller and the buyer, under which they are convinced to take part in the cooperative decision-making plan. Therefore, lead-time crashing is the proposed incentive mechanism for collaborative supply-chain management. We use a fixed-charge step function to calculate the lead-time crashing cost for slow and fast shipping mode. We give two numerical examples to validate the proposed models and demonstrate the service-level enhancement under the collaborative supply-chain management in case of an unreliable seller. Concluding remarks and future extensions are discussed at the end.

Highlights

  • In recent years, the supply-chain coordination mechanism between supply-chain players has gained the enormous interest of researchers

  • Selection of shipping mode depends on the lead-time reduction coefficient; if it lies within interval [0, F ] slow shipping mode is suitable for the system

  • The variable setup cost, order quantity, and service level were the significant factors to optimize the profitability of the whole supply chain

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Summary

Introduction

The supply-chain coordination mechanism between supply-chain players has gained the enormous interest of researchers. Heydari et al [2] considered transportation lead-time reduction at the seller’s end as an incentive mechanism to convince the buyer to undertake cooperative decision-making within the supply chain They considered normally distributed stochastic demand and the fixed setup cost for the seller. To the best of the authors’ knowledge, this model is the first time we consider reliable and unreliable sellers, variable setup cost, uncertainties in demand, and shipping mode enhancement with the distribution-free approach for lead-time demand. We hope this model will open a new direction in lead-time (LT) reduction by transportation mode selection, stochastic fuzzy demand, and supply-chain coordination

Literature Review
Problem Definition
Notation
Assumptions
Mathematical Model
Decentralized Decision-Making
Centralized Decision-Making
Coordination Mechanism between Seller and Buyer
Seller’s Conditions for Participation in Joint Decision-Making
Numerical Example
Sensitivity Analysis
Conclusions

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