Quality and Operations Management in Food Supply Chains: A Literature Review

He, Yong; Huang, Hongfu; Li, Dong; Shi, Chunming; Wu, Sarah

doi:10.1155/2018/7279491

Cited by 30 publications

(25 citation statements)

References 109 publications

(105 reference statements)

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“…e product quality was taken into account throughout the processes of P-D planning using the MIP model by [17] as well. He et al [21] focus on the models of quantitative operations management associated with the management of food quality and classify the literature into four problem categories of storage, distribution, and pricing (for perishable food products), as well as operations management (for food traceability and safety). Yang and Tseng proposed a model considering deterioration for chilled food with an eye to the model of Gompertz, which illustrates the growth degree of microorganisms with time.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Quality-Based Production-Distribution Planning in Two-Echelon Supply Chains

Pasha

Kamalabadi

Eydi

2021

Mathematical Problems in Engineering

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The integrated production-distribution (P-D) planning has turned into one of the most essential areas in supply chain (SC) management in recent years, especially in the case of perishable products in which the quality of products can change over time. Nonetheless, so far, the suggested models have focused on the P-D stages of the chain while the delivery of high-quality products to customers is of paramount significance in the perishable SC. In the present paper, a multiobjective, mixed-integer, and nonlinear programming (MOMINLP) mathematical model was developed for integrated P-D deteriorating items in a two-echelon SC that emphasizes quality degradation. Quality is monitored and calculated as a function of temperature and time throughout the SC, and the main purpose of the model is to first increase the quality of products delivered to customers and, second, minimize the SC costs. To optimize the problem, the particle swarm optimization (PSO) approach was also incorporated into the model. The obtained model was applied to a case study in Protein Gostar Sina Company in Iran, which resulted in decreased P-D costs as well as increased customer satisfaction.

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Section: Literature Reviewmentioning

confidence: 99%

Integrated Quality-Based Production-Distribution Planning in Two-Echelon Supply Chains

Pasha

Kamalabadi

Eydi

2021

Mathematical Problems in Engineering

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“…Furthermore, the product deterioration and demand uncertainty increase complexity of the supply chain operations. He et al (2018) presented a comprehensive literature survey on quality and operations management problems in food supply chains. The collected studies were classified into 4 categories, including the following: (1) storage problems; (2) distribution problems; (3) marketing problems; and (4) food traceability and safety problems.…”

Section: Miscellaneousmentioning

confidence: 99%

Models and Solution Algorithms for Efficient Truck Scheduling at Cross-docking Terminals with Time-sensitive Products

Theophilus¹

2021

Preprint

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This dissertation focuses on the scheduling of trucks (both in- and outbound trucks) at a CDT, where some of the delivered products are perishable in nature. The short lifespan of perishable products (i.e., foods and drugs) poses critical challenges to the CDT operations management. Perishable goods are time-sensitive products that require minimal handling time to preserve their quality and profitability. Cross-docking is expected to facilitate the distribution of perishable products within supply chains. There are many challenges involved in the management of the cross-docking terminals with perishable products, including determination of the service order of the trucks (inbound and outbound) carrying perishable products, selection of preemption strategies for certain trucks (i.e., a given truck can leave the door, so another truck can be docked for service), allocation of suitable temporary storage space for products, quality loss due to late delivery or errors in temperature control.This dissertation aims to develop a mathematical model for scheduling the arriving trucks at a cross-dock terminal, taking product decay into consideration throughout the handling process. The objective of the mathematical model minimizes the total truck service cost, which includes (1) waiting cost; (2) service cost; (3) cost of product storage; (4) cost of delay in truck departure; and (5) the cost associated with the decay of products that are perishable in nature. A number of linearization techniques are discussed in order to linearize the original nonlinear mathematical model (where the nonlinearity is caused by the adopted product decay function). The complexity of the linearized model is evaluated in this dissertation. Moreover, the candidate solution approaches for the proposed mathematical model are described.The developed model was solved using the exact optimization technique. In particular, the model was solved to optimality using CPLEX. However, it was observed that the computational time increased as the problem size increased due to the model complexity. Four alternative solution approaches namely: (1) Evolutionary Algorithm (EA); (2) Variable Neighborhood Search (VNS); (3) Tabu Search (TS); and (4) Simulated Annealing (SA), which are common metaheuristic algorithms, were developed and compared with CPLEX using small-size problem instances. These metaheuristics were able to achieve optimal solutions for the small-size problem instances and required relatively low computational times. The metaheuristic algorithms were further compared, and EA was found to outperform the others (VNS, TS, and SA) based on the balance between the objective function and computational time values. A set of analyses were carried out using EA, and managerial insights that could be of interest to supply chain stakeholders were drawn. The proposed mathematical model, the developed EA, and the managerial insights could assist the CDT manager in making efficient and timely truck scheduling decisions in any planning horizon.

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“…Numerous prior studies have been conducted on the perishable food supply chain from approaches such as quality (Aung and Chang 2014;He et al 2018), planning models (Ahumada and Villalobos 2009;Soto-Silva et al 2016) and sustainability (Beske et al 2014;Li et al 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal pricing strategy for the perishable food supply chain

Chen

Wang

et al. 2018

International Journal of Production Research

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This research investigates the optimal pricing strategy for the perishable food supply chain. Using the setting of a two-echelon supply chain including a supplier and a retailer, we apply the game theory approach to derive the equilibriums for both a single pricing strategy and a two-stage pricing strategy. Through a comparison of the equilibriums, we explore how the two pricing strategies affect the supply chain's decisions and supplier's and retailer's performance individually and collectively. The results of the analysis show that the optimal choice of pricing strategy depends on the price markdown cost and its relationship with the two critical thresholds that are determined by a combination of factors including the potential market size, the price and quality sensitivity factors, the initial quality, the unit product cost, and the quality deterioration rate.

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Quality and Operations Management in Food Supply Chains: A Literature Review

Cited by 30 publications

References 109 publications

Integrated Quality-Based Production-Distribution Planning in Two-Echelon Supply Chains

Integrated Quality-Based Production-Distribution Planning in Two-Echelon Supply Chains

Models and Solution Algorithms for Efficient Truck Scheduling at Cross-docking Terminals with Time-sensitive Products

Optimal pricing strategy for the perishable food supply chain

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