A three-echelon supply chain model with price and two-level quality dependent demand

Roy, B.; Giri, Bibhas C.

doi:10.1051/ro/2018066

Cited by 5 publications

(2 citation statements)

References 48 publications

(48 reference statements)

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“…It has been proven that MSCN models are NP-hard [7,12,[15][16][17]27,36,37,46]. Hence, the literature review has seen several meta-heuristic algorithms that were suggested to solve these NP-hard problems [16,17].…”

Section: Solution Methodologymentioning

confidence: 99%

Designing a new medicine supply chain network considering production technology policy using two novel heuristic algorithms

et al. 2021

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The role of medicines in health systems is increasing day by day. The medicine supply chain is a part of the health system that if not properly addressed, the concept of health in that community is unlikely to experience significant growth. To fill gaps and available challenging in the medicine supply chain network (MSCN), in the present paper, efforts have been made to propose a location-production-distribution-transportation-inventory holding problem for a multi-echelon multi-product multi-period bi-objective MSCN network under production technology policy. To design the network, a mixed-integer linear programming (MILP) model capable of minimizing the total costs of the network and the total time the transportation is developed. As the developed model was NP-hard, several meta-heuristic algorithms are used and two heuristic algorithms, namely, Improved Ant Colony Optimization (IACO) and Improved Harmony Search (IHS) algorithms are developed to solve the MSCN model in different problems. Then, some experiments were designed and solved by an optimization solver called GAMS (CPLEX) and the presented algorithms to validate the model and effectiveness of the presented algorithms. Comparison of the provided results by the presented algorithms and the exact solution is indicative of the high-quality efficiency and performance of the proposed algorithm to find a near-optimal solution within reasonable computational time. Hence, the results are compared with commercial solvers (GAMS) with the suggested algorithms in the small-sized problems and then the results of the proposed meta-heuristic algorithms with the heuristic methods are compared with each other in the large-sized problems. To tune and control the parameters of the proposed algorithms, the Taguchi method is utilized. To validate the proposed algorithms and the MSCN model, assessment metrics are used and a few sensitivity analyses are stated, respectively. The results demonstrate the high quality of the proposed IACO algorithm.

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Section: Solution Methodologymentioning

confidence: 99%

Designing a new medicine supply chain network considering production technology policy using two novel heuristic algorithms

et al. 2021

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“…Wu et al [34] explored the optimal pricing and service policies for dual-channel reverse supply chain with online and offline recycling channels. Roy and Giri [27] studied the pricing and quality decisions in a three-stage supply chain with price and quality dependent demand. All these papers assume the price information to be common, that is, the price information of each agent is known to others.…”

Section: Literature Reviewmentioning

confidence: 99%

Price negotiation and coordination in outsourcing supply chain under yield and demand uncertainties

Chen

2021

RAIRO-Oper. Res.

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This paper considers the issues of pricing, lot-sizing decisions and coordination in a supply chain consisting of one original equipment manufacturer (OEM) and one contract manufacturer (CM). A Bayesian game accounting for asymmetric information is established to optimize the CM’s outsourcing price and the OEM’s selling price. A Stackelberg game incorporating yield and demand uncertainties is subsequently modeled to optimize the CM’s production quantity and the OEM’s order quantity. Finally, a shortage penalty with surplus purchase contract is proposed to coordinate the supply chain. It is found that the optimal outsourcing price is either the lower limit or the stationary point of the common price domain, while the optimal selling price is the upper limit. Whether the CM adopts a conservative or an aggressive production strategy depends on the threshold of the outsourcing price. Moreover, the coordination contract offers great flexibility in parameter selection. By setting the order quantity, penalty price and surplus purchase price properly, the supply chain can realize a win-win situation.

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Channel choice and coordination of fresh agricultural product supply chain

Yan

Fan

2021

RAIRO-Oper. Res.

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By constructing a dual-channel fresh agricultural product (FAP) supply chain consisting of a retailer and a supplier, this paper considers the effect of fresh-keeping level on the freshness of perishable products and constructs a time-varying demand function based on freshness. The operating cost of the internet channel to the supplier has also been considered in the model. Optimal pricing strategy and profits of supply chain members under dual channels are investigated respectively in this paper. Comparing the optimal profit under traditional single-channel and dual-channel supply chain, we obtain the condition that the internet operating cost should satisfy. Given the situation where the supplier obtains profit while the retailer loses after the supplier introduced the internet channel, this paper proposes a revenue-sharing contract to make up for the loss of the retailer and achieves a win-win situation. Research shows that in the numerical analysis the supplier’s and the retailer’s profit can only be improved when the operating cost of the internet channel c 0 and revenue-sharing ratio ψ are within a certain range. When ψ ≥ 0.4 and 0 ≤ c 0 ≤ [[EQUATION]] , Pareto improvement will be attained on both sides in the supply chain.

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A three-echelon supply chain model with price and two-level quality dependent demand

Cited by 5 publications

References 48 publications

Designing a new medicine supply chain network considering production technology policy using two novel heuristic algorithms

Designing a new medicine supply chain network considering production technology policy using two novel heuristic algorithms

Price negotiation and coordination in outsourcing supply chain under yield and demand uncertainties

Channel choice and coordination of fresh agricultural product supply chain

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