Optimization and Coordination of Fresh Product Supply Chains with Freshness‐Keeping Effort

Cai, Xiaoqiang; Chen, Jian; Xiao, Yue; Xu, Xiaolin

doi:10.1111/j.1937-5956.2009.01096.x

Cited by 263 publications

(147 citation statements)

References 37 publications

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“…In [16] is proposed a shelf-space-allocation and inventory model for fresh produce, whose demand depends on the items' freshness conditions and the displayed inventory. The supply chain of a fresh product in which the distributor can preserve the freshness of the product during its transportation is considered in [26]. The demand depends on the freshness-keeping effort.…”

Section: Introductionmentioning

confidence: 99%

Carbon-Constrained Perishable Inventory Management with Freshness-Dependent Demand

Hua

Cheng

Zhang

et al. 2016

Int. j. simul. model.

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We consider perishable inventory control with freshness-dependent demand under carbon emissions constraints. We propose two deteriorating inventory models with carbon emissions tax and the capand-trade mechanism, in which the demand is freshness dependent, carbon emissions come from inventory holding, shipping, and item deteriorating, and the objective is to maximize the profit per unit time. We characterize the existence and uniqueness of the solutions for the models. We analyse the impacts of carbon emissions tax, carbon emissions quota, and carbon price on inventory decisions, carbon emissions, and profit. We conduct simulation to generate managerial insights from our analytical results.

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Section: Introductionmentioning

confidence: 99%

Carbon-Constrained Perishable Inventory Management with Freshness-Dependent Demand

Hua

Cheng

Zhang

et al. 2016

Int. j. simul. model.

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show abstract

“…Producers and distributors need to consider the freshness of the product when making decisions about prices and the amount of quantity to produce (Cai et al, 2010). Mathematical models for FPSCs incorporate the value of preserving perishable commodities (Ahumada and Villalobos, 2011a), different demand functions (Balkhi andBenkherouf, 2004, Deng et al, 2007), the impact of time-varying demand on lost sales and purchase costs (Dye et al, 2006), and inventory, replenishment, and through-put policies (Thron et al, 2007).…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling disruption in a fresh produce supply chain

MacKenzie

Apte

2017

IJLM

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Purpose-The purpose of this paper is to quantify elements that make fresh produce supply chains vulnerable to disruptions and to quantify the benefits of different disruption management strategies.Design/methodology/approach-This paper develops a mathematical model of a disruption in a fresh produce supply chain and analyzes the relationships among variables. Findings-The model determines the optimal safety stock as a function of the perishability of the produce, the length of time it takes to find the contamination, the level of demand during the disruption, and the amount of produce that can be rerouted. Applying the model to the 2006 E. coli spinach contamination reveals that the drop in customer demand for fresh spinach plays the largest role in Dole losing sales.Research limitations-The model includes several parameters that may be difficult to estimate.Future models can incorporate uncertainty that is inherent in supply chain disruptions. 2Practical implications-The model in this paper can help a supply chain manager explore the trade-offs of different disruption management strategies. For example, a supply chain manager can determine the value of holding additional safety stock versus trying to improve traceability in the supply chain.Originality/value-This paper quantifies and models insights delivered in the qualitative analyses of fresh produce supply chain disruptions. The theoretical contributions include an analysis of the interaction among safety stock, levels of demand, communication, and traceability parameters in order to help supply chain managers evaluate different strategies to mitigate the effects of contaminated produce.3

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“…Empirical studies have found that consumers are sensitive to the freshness of perishable food and usually give a lower valuation to expiring food [28]. Therefore, previous studies dealing with the deterioration of product quality over time have usually assumed quality dependent demand [29,30]. Food safety is a factor that is different from food quality and is difficult to observe.…”

Section: Literature Reviewmentioning

confidence: 99%

Economic Analysis of a Traceability System for a Two-Level Perishable Food Supply Chain

Zhu¹

2017

Sustainability

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Food waste stemmed from food contamination and ineffective quality control is a significant challenge to food management. Supply chain traceability has become an essential task of the food industry for guaranteeing food quality and safety and reducing food waste. Radio Frequency Identification (RFID) has emerged as a lead technology in the development of traceability systems, which enable automatically capturing of food information along the supply chain. However, the significant investment cost has been a major obstacle in the diffusion of traceability systems in the food industry. This study conducts a cost-benefit analysis of a RFID-enabled traceability system for a two-level perishable food supply chain, which consists of an upstream supplier and a downstream retailer. Consumer perceptions of food quality and safety are jointly considered when evaluating the value of a traceability system. The optimal decisions of the supply chain participants are derived in both centralized and decentralized systems, in terms of wholesale price, order quantity, price markdowns, and granularity level of the traceability system. The results show that a dynamic pricing policy supported by the traceability system could significantly reduce food waste and improve the retailer's performance. We further propose a two-part tariff contract to coordinate the supply chain and to distribute benefits and costs of the traceability system between supply chain participants. This study demonstrates that a well-developed traceability system could significantly improve the supply chain performance and become a profitable investment for the food industry.

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Optimization and Coordination of Fresh Product Supply Chains with Freshness‐Keeping Effort

Cited by 263 publications

References 37 publications

Carbon-Constrained Perishable Inventory Management with Freshness-Dependent Demand

Carbon-Constrained Perishable Inventory Management with Freshness-Dependent Demand

Modeling disruption in a fresh produce supply chain

Economic Analysis of a Traceability System for a Two-Level Perishable Food Supply Chain

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