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Article
Publication date: 1 March 1999

Chun‐Ho Kuo, Kimberly D. Dunn and Sabah U. Randhawa

Managing supply‐chain operations is critical to any company’s ability to compete effectively. Success in today’s markets depends on the ability to balance a stream of…

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7592

Abstract

Managing supply‐chain operations is critical to any company’s ability to compete effectively. Success in today’s markets depends on the ability to balance a stream of products and processes to stay competitive. Companies are constantly evaluating every area of operations to ensure that productivity and cost objectives are realistic and attainable. Research has been carried out to investigate the measurement systems used in today’s distribution centers. Five distribution centers in the Pacific Northwest were selected for this study. The characteristics of these five distribution centers and their measurement systems are discussed in this paper. A cross‐case analysis is provided, which gives a view of a typical measurement system used in today’s distribution centers.

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Industrial Management & Data Systems, vol. 99 no. 2
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 1 February 1971

H. GEORGE MILLER

A proposal for a distribution cost and revenue analysis format to provide information for logistics decisions and control.

Abstract

A proposal for a distribution cost and revenue analysis format to provide information for logistics decisions and control.

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International Journal of Physical Distribution, vol. 1 no. 2
Type: Research Article
ISSN: 0020-7527

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Article
Publication date: 16 May 2009

Ioannis Manikas and Leon A. Terry

The aim of this research is to evaluate the current operational status of fresh produce distribution centres in the UK and identify the nature and magnitude of the main…

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2384

Abstract

Purpose

The aim of this research is to evaluate the current operational status of fresh produce distribution centres in the UK and identify the nature and magnitude of the main logistical problems within them.

Design/methodology/approach

A critical evaluation of space and time utilization efficiency has been achieved by studying on‐site operations in a multiple produce handling and short‐term storage facility in Kent, UK. The objective of this research was to measure operational performance of distribution centres for agricultural perishables in terms of through‐put and space utilization.

Findings

The inefficient utilization of storage space within cold rooms has been identified and quantified accurately, whilst the quality control task has been recognized as the most time‐consuming task and a critical cause for hindering product flow.

Practical implications

Despite their importance, distribution centres for fresh fruit and vegetables have received little attention in the distribution and performance management literature. Given the lack of robust performance measurement systems reported, the measurement of operational performance in distribution centres for agricultural products was a challenge.

Originality/value

The measurement and improvement of the operational performance in each linkage of the fresh produce supply chain – such as a distribution centre – can lead in achieving higher levels of service at substantially reduced costs. A small number of publications are found in the literature providing information on physical distribution of agricultural perishables, and how the key features of perishability and voluminosity of the produce affect the distribution efficiency. In this research, a step towards the improvement of the fresh produce distribution industry operational performance has been attempted, by evaluating the current operational status of a leading multiple produce distribution centre in the UK.

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British Food Journal, vol. 111 no. 5
Type: Research Article
ISSN: 0007-070X

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Article
Publication date: 9 February 2021

Mohammad Ali Beheshtinia, Narjes Salmabadi and Somaye Rahimi

This paper aims to provide an integrated production-routing model in a three-echelon supply chain containing a two-layer transportation system to minimize the total costs…

Abstract

Purpose

This paper aims to provide an integrated production-routing model in a three-echelon supply chain containing a two-layer transportation system to minimize the total costs of production, transportation, inventory holding and expired drugs treatment. In the proposed problem, some specifications such as multisite manufacturing, simultaneous pickup and delivery and uncertainty in parameters are considered.

Design/methodology/approach

At first, a mathematical model has been proposed for the problem. Then, one possibilistic model and one robust possibilistic model equivalent to the initial model are provided regarding the uncertain nature of the model parameters and the inaccessibility of their probability function. Finally, the performance of the proposed model is evaluated using the real data collected from a pharmaceutical production center in Iran. The results reveal the proper performance of the proposed models.

Findings

The results obtained from applying the proposed model to a real-life production center indicated that the number of expired drugs has decreased because of using this model, also the costs of the system were reduced owing to integrating simultaneous drug pickup and delivery operations. Moreover, regarding the results of simulations, the robust possibilistic model had the best performance among the proposed models.

Originality/value

This research considers a two-layer vehicle routing in a production-routing problem with inventory planning. Moreover, multisite manufacturing, simultaneous pickup of the expired drugs and delivery of the drugs to the distribution centers are considered. Providing a robust possibilistic model for tackling the uncertainty in demand, costs, production capacity and drug expiration costs is considered as another remarkable feature of the proposed model.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 1 May 1980

David Ray, John Gattorna and Mike Allen

Preface The functions of business divide into several areas and the general focus of this book is on one of the most important although least understood of these…

Abstract

Preface The functions of business divide into several areas and the general focus of this book is on one of the most important although least understood of these—DISTRIBUTION. The particular focus is on reviewing current practice in distribution costing and on attempting to push the frontiers back a little by suggesting some new approaches to overcome previously defined shortcomings.

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International Journal of Physical Distribution & Materials Management, vol. 10 no. 5/6
Type: Research Article
ISSN: 0269-8218

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Article
Publication date: 1 January 1993

John C. Taylor and David J. Closs

Trade restrictions; border crossing difficulties, and companyorganizational structures have limited historical cross‐borderdistribution activity. The result, generally, is…

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215

Abstract

Trade restrictions; border crossing difficulties, and company organizational structures have limited historical cross‐border distribution activity. The result, generally, is two or three independent distribution systems to support North American logistics operations. With the completion of the US‐Canada Free Trade Act, many of these limitations are being reduced. It is now time for firms to refine their distribution networks to respond to this new environment. The major changes that firms must consider are distribution centre locations and manufacturing supply points. The factors that influence these changes are country/market integration, duty levels, and cross‐border transportation rates. Reports on the results of food industry simulations that consider multiple levels of integration, duties, and cross‐border rates. The results compare the number of distribution centres and the total cost of each network, and generally indicate that there are no significant changes in distribution system network design resulting from US‐Canada Free Trade. The minor changes which are observed include Toronto serving the Eastern US and Seattle serving Western Canada. The cost differences are not significant. The results also indicate that there is no significant economic motivation for cross‐border logistics activity until duties are eliminated and cross‐border transportation rates decline by 10 per cent.

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International Journal of Physical Distribution & Logistics Management, vol. 23 no. 1
Type: Research Article
ISSN: 0960-0035

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Article
Publication date: 2 March 2015

Alp Ustundag and Aysenur Budak

Distribution network design (DND) has become an important strategic decision for supply chain managers with increasing competitive nature of the industry nowadays. The…

Abstract

Purpose

Distribution network design (DND) has become an important strategic decision for supply chain managers with increasing competitive nature of the industry nowadays. The purpose of this paper is to propose a web-based decision support system (DSS) for fuzzy distribution network optimization. For this purpose, a web-based DSS using fuzzy linear programming model is proposed to solve DND problem under uncertainty and a framework is created to optimize a distribution network.

Design/methodology/approach

In this study, the fuzziness in distribution network optimization is addressed. Fuzzy linear programming is used in a DSS to consider the uncertain and imprecise data. A web-based DSS architecture is presented. Furthermore, as an application, distribution network optimization is conducted for a company in the ceramics industry.

Findings

By using this DSS, the optimal transshipment amounts in the distribution network and the required facility and distribution centers can be determined for different fuzziness levels. In fact, for different uncertainty levels of input parameters, the planner can understand the range of optimum network planning costs. Based on the results of this study, planners will be able to decide how to develop the distribution network under uncertain demand.

Originality/value

Reviewing previous research in the related literature revealed that there are no studies presenting a web-based DSS using fuzzy linear programming model to solve this type of problems under uncertainty.

Details

Journal of Enterprise Information Management, vol. 28 no. 2
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 28 February 2019

Behzad Karimi, Amir Hossein Niknamfar, Babak Hassan Gavyar, Majid Barzegar and Ali Mohtashami

Today’s, supply chain production and distribution of products to improve the customer satisfaction in the shortest possible time by paying the minimum cost, has become the…

Abstract

Purpose

Today’s, supply chain production and distribution of products to improve the customer satisfaction in the shortest possible time by paying the minimum cost, has become the most important challenge in global market. On the other hand, minimizing the total cost of the transportation and distribution is one of the critical items for companies. To handle this challenge, this paper aims to present a multi-objective multi-facility model of green closed-loop supply chain (GCLSC) under uncertain environment. In this model, the proposed GCLSC considers three classes in case of the leading chain and three classes in terms of the recursive chain. The objectives are to maximize the total profit of the GCLSC, satisfaction of demand, the satisfactions of the customers and getting to the proper cost of the consumers, distribution centers and recursive centers.

Design/methodology/approach

Then, this model is designed by considering several products under several periods regarding the recovery possibility of products. Finally, to evaluate the proposed model, several numerical examples are randomly designed and then solved using non-dominated sorting genetic algorithm and non-dominated ranking genetic algorithm. Then, they are ranked by TOPSIS along with analytical hierarchy process so-called analytic hierarchy process-technique for order of preference by similarity to ideal solution (AHP-TOPSIS).

Findings

The results indicated that non-dominated ranked genetic algorithm (NRGA) algorithm outperforms non-dominated sorting genetic algorithm (NSGA-II) algorithm in terms of computation times. However, in other metrics, any significant difference was not seen. At the end, to rank the algorithms, a multi-criterion decision technique was used. The obtained results of this method indicated that NSGA-II had better performance than ones obtained by NRGA.

Originality/value

This study is motivated by the need of integrating the leading supply chain and retrogressive supply chain. In short, the highlights of the differences of this research with the mentioned studies are as follows: developing multi-objective multi-facility model of fuzzy GCLSC under uncertain environment and integrating the leading supply chain and retrogressive supply chain.

Details

Assembly Automation, vol. 39 no. 1
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 11 May 2015

Rui Fernandes, Carlos Pinho and Borges Gouveia

The purpose of this paper is to provide a new modelling framework for distribution network strategy and to study how various transfer-pricing schemes cope with stochastic…

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1599

Abstract

Purpose

The purpose of this paper is to provide a new modelling framework for distribution network strategy and to study how various transfer-pricing schemes cope with stochastic demand under different countries tax policies.

Design/methodology/approach

Use is made of real options to quantify the available options for supply chain network design. The application of real options approach relies on three main conditions, such as the existence of uncertainty (market), flexibility (different network design) and irreversibility (investments) in the decision process.

Findings

Evaluation of the potential impact of changes in local tax policies on long-run plant and distribution centers location decisions. A more intensive tax regime tends to promote changes in the distribution network that support multinational companies. In high uncertain markets, the options to change the network are more attractive – uncertainty is linked with an increase in flexibility.

Practical implications

The present study provides decision makers with a useful tool for supporting the design of global logistics networks, considering different scenarios and therefore determines a more after-taxes profitable logistics network configuration.

Originality/value

Integrate financial issues while studying different scenarios for supply chain network designs. It presents a model that focus on distribution network design considering transfer-pricing methods as decision variables and aiming after-taxes bottom-line results maximization. There are relatively few “reported” implementations of global profit maximization models for large-scale networks. Thus, we believe that the implementation of global profit maximization models represents a potentially significant unrealized opportunity worthy of serious consideration by many firms.

Details

The International Journal of Logistics Management, vol. 26 no. 1
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 27 April 2018

Xinxuan Cheng, Guoqing Yang and Longfei Fan

This paper aims to develop an uncertain global supply chain network design (GSCND) model with rules of origin (RoOs) and limited import quotas, and to discuss the…

Abstract

Purpose

This paper aims to develop an uncertain global supply chain network design (GSCND) model with rules of origin (RoOs) and limited import quotas, and to discuss the international factors’ effects on location decisions.

Design/methodology/approach

The authors establish an uncertain GSCND model with the international factors. The transportation costs and customers’ demands are characterized as random variables. To deal with the risk of uncertainty, the authors introduce the customers’ demand service level. A sample approximation approach (SAA) is used to deal with the service level constraint and turn the proposed model into a mixed integer programming. On the basis of the properties of the proposed model, a hybrid memetic algorithm (MA) is designed to solve it.

Findings

The authors find that the proposed MA is efficient to the real supply chain network design problem. Besides, the RoOs and limited import quotas can affect the optimal choices of plant and distribution center locations.

Originality/value

The authors propose an uncertain GSCND model with RoOs and limited import quotas. An MA with SAA is designed to solve the proposed model. The authors apply the proposed model into a real global supply chain of an apparel corporation in East Asia, and give some managerial insights.

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