Cost-optimization modelling for fresh food quality and transportation

Nakandala, Dilupa; Lau, Henry C. W.; Zhang, Jingjing

doi:10.1108/imds-04-2015-0151

Cited by 68 publications

(69 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Wang and Li [36] examined how to reduce food spoilage waste and maximize food retailers' profit and analyzed the product pricing policies. To minimize the total cost while maintaining the quality of food products above acceptable levels [30], developed a total cost model that included various costs incurred during transportation. Qin et al [31] examined the joint pricing and inventory control for fresh produce and foods by simultaneously considering quality and physical quantity deterioration.…”

Section: Fresh Agricultural Product Supply Chainmentioning

confidence: 99%

Decision making and coordination of fresh agriculture product supply chain considering fairness concerns

Yan

Chen

2020

RAIRO-Oper. Res.

View full text Add to dashboard Cite

This paper investigates decisions in a supply chain of fresh agricultural products considering fairness concerns. By considering a two-echelon supply chain consisting of a retailer and a manufacturer, this paper discusses the effect of the manufacturer’s fairness concerns and the retailer’s fairness concerns on the fresh agriculture product supply chain within the framework of Nash bargaining. Meanwhile, a revenue-sharing contract is designed to coordinate the supply chain with fairness concerns. The results show that the manufacturer’s behavioral tendency of fairness concerns will reduce their fresh-keeping effort; thereby, the freshness of products and market demand will also decrease. The behavioral tendencies of fairness concerns of both sides reduce the overall effectiveness of the supply chain and adversely affect the stability of the fresh produce supply chain. Both the optimal retail price and the fresh-keeping effort can be achieved while all parties get higher utilities under the revenue-sharing contract in comparison to the case without coordination.

show abstract

Section: Fresh Agricultural Product Supply Chainmentioning

confidence: 99%

Decision making and coordination of fresh agriculture product supply chain considering fairness concerns

Yan

Chen

2020

RAIRO-Oper. Res.

View full text Add to dashboard Cite

show abstract

“…Nakandala D et al [36] developed a method for finding optimal transportation cost; this method considered the selection of the route, temperature control, and speed control during transportation. The researchers also used the three approaches of GA, FGA, and SA to demonstrate the transportation cost model.…”

Section: Literature Reviewmentioning

confidence: 99%

Cost-Optimization Problem with a Soft Time Window Based on an Improved Fuzzy Genetic Algorithm for Fresh Food Distribution

Wang

Yin

2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Given the increasing demand for fresh food quality, fresh food plants must manage not only product cost but more importantly the product quality. The transportation requirements for fresh food delivery have been continuously increasing. The purpose of this paper is to develop a method to ensure that fresh food can be delivered just in time and with minimum total cost while maintaining the quality of fresh food. Considering that fresh food plants need multiple trucks to deliver multiple products to numerous geographically dispersed customers, the delivery of fresh food is considered in two stages in our study. The first stage is cluster consumers; that is, we determine to which consumers each truck is responsible for delivery. The second stage, which is based on the consumer grouping results, develops a total cost model that includes the transportation, refrigerated, devalued, and penalty costs incurred during distribution. This model is used to determine the optimal route selection, the temperature control, and the average speed of each truck in distribution. This paper designs decision variables based on a customer's seven requirement attributes; it also proposes a fuzzy clustering method for grouping customers and improves a fuzzy genetic algorithm that is used to solve the proposed total cost model. The application of the proposed method is demonstrated using an example. The experimental results show that the proposed method has better performance than that of a traditional genetic algorithm. This research work provides an optimal distribution total cost decision method for the logistics managers. This research also provides an effective means to ensure the safety of fresh food.

show abstract

“…Through the supply chain management (SCM), it aims to achieve better customer service with less cost while satisfying various requirements and different types of constraints for all participants in the entire chain (Van der Vorst et al, 2005). Nowadays, in the food sector, the consumers demand high-quality food with various novel forms throughout the year with a good and competitive price (Trienekens and Zuurbier, 2008;Nakandala et al, 2016). Thus, food quality and waste issues are two main differences between SCM and FSCM.…”

Section: Fscmbackground and Modelsmentioning

confidence: 99%

A constraint-driven approach to food supply chain management

Sitek

Wikarek

Nielsen

2017

IMDS

View full text Add to dashboard Cite

Purpose-The purpose of this paper is the need to build a novel approach that would allow flexible modeling and solving of food supply chain management (FSCM) problems. The models developed would use the data (data-driven modeling) as early as possible at the modeling phase, which would lead to a better and more realistic representation of the problems being modeled. Design/methodology/approach-An essential feature of the presented approach is its declarativeness. The use of a declarative approach that additionally includes constraint satisfaction problems and provides an opportunity of fast and easy modeling of constrains different in type and character. Implementation of the proposed approach was performed with the use of an original hybrid method in which constraint logic programming (CLP) and mathematical programming (MP) are integrated and transformation of a model is used as a presolving technique. Findings-The proposed constraint-driven approach has proved to be extremely flexible and efficient. The findings obtained during part of experiments dedicated to efficiency were very interesting. The use of the constraint-driven approach has enabled finding a solution depending on the instance data up to 1,000 times faster than using the MP. Research limitations/implications-Due to the limited use of exact methods for NP-hard problems, the future study should be to integrate the CLP with environments other than the MP. It is also possible, e.g., with metaheuristics like genetic algorithms, ant colony optimization, etc. Practical implications-There is a possibility of using the approach as a basis to build a decision support system for FSCM, simple integration with databases, enterprise resource planning systems, management information systems, etc. Originality/value-The new constraint-driven approach to FSCM has been proposed. The proposed approach is an extension of the hybrid approach. Also, a new decision-making model of distribution and logistics for the food supply chain is built. A presolving technique for this model has been presented.

show abstract

Cost-optimization modelling for fresh food quality and transportation

Cited by 68 publications

References 30 publications

Decision making and coordination of fresh agriculture product supply chain considering fairness concerns

Decision making and coordination of fresh agriculture product supply chain considering fairness concerns

Cost-Optimization Problem with a Soft Time Window Based on an Improved Fuzzy Genetic Algorithm for Fresh Food Distribution

A constraint-driven approach to food supply chain management

Contact Info

Product

Resources

About