Implementation of logistics information system to support reverse logistics: a case study

Lau, Hon‐Shiang; Lee, C.K.M.; Choy, King Lun; Ip, Wlr; Chan, Felix T. S.; Ip, Rwl

doi:10.1504/ijlsm.2004.005542

Cited by 10 publications

(6 citation statements)

References 12 publications

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“…Reverse logistics systems involve high investment, and thus financial limitations force into restrictive company policies. Information support is necessary for tracking and handling returns in reverse logistics processes, and they help reverse logistics managers improve partner communications, integrate information across firm’s activities and improve responsiveness, all of which involve financial support (Lau et al , 2004; Langer et al , 2007). The MICMAC analysis indicates that financial limitations are an independent variable.…”

Section: Resultsmentioning

confidence: 99%

An ISM-based approach analyzing interactions among variables of reverse logistics in automobile industries

Ravi

Shankar

2017

JM2

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Purpose This paper aims to analyze the interaction among the major variables of reverse logistics seen in automobile industries. Design/methodology/approach In this research, interpretive structural modeling (ISM) has been used to understand mutual influences among identified variables of reverse logistics. The advantage of the ISM methodology is that variables can be categorized depending upon their driving power and dependence. Findings Regulations make it mandatory for automobile companies to own responsibility of products manufactured throughout their life cycle by collecting and reusing products, reducing volume of waste generated, increasing the use of recycled materials, etc. For example, End-of-Life Vehicle Directive had directed manufacturers to take back their vehicles at the end of their usefulness and responsibly dispose them. In this research, regulation has appeared at bottom of the ISM model, indicating that it has high driving power to influence other variables. Also, financial limitations are a significant inhibitor faced by the top management for implementing reverse logistics programs. Research limitations/implications The ISM methodology relies upon expert opinions for developing contextual relation among identified variables. Thus, an expert’s knowledge, his familiarity with industry and its operations may have affected the final results of the ISM model. One of research implications of this study is that variables identified in this ISM model are quite generic, and thus, with marginal adjustments, these can be used in the context of any other supply chain for increasing its productivity and performance. Practical implications The ISM model reveals that regulations affect a significant number of enabler variables of reverse logistics like support of policy entrepreneurs, green purchasing by companies, information and communication technologies that are seen at the upper level of ISM. This indicates that regulations force companies to be proactive towards product recovery actions that lead to initiation of reverse logistics programs by them. Originality/value This research has tried to analyze the interaction among the major variables of reverse logistics typically seen in automobile industries which could be useful to logistics managers for taking strategic-level decisions.

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Section: Resultsmentioning

confidence: 99%

An ISM-based approach analyzing interactions among variables of reverse logistics in automobile industries

Ravi

Shankar

2017

JM2

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“…Meade et al (2007) provide a review of the literature on RL, with particular reference to the research opportunity in this field. A further framework for supporting the design of RL systems is presented by Lau et al (2004), who underline the necessity to consider the costs of the EOL products' management, with a particular application in a telecommunication services supply company. Setaputra and Mukhopadhyay (2010) introduce a framework for research in RL, by dividing this issue into six research categories, with the aim to help the future researchers to focus their work in the appropriate area.…”

Section: Literature Reviewmentioning

confidence: 99%

A planning model for the optimisation of the end-of-life vehicles recovery network

Mora

Cascini

Gamberi

et al. 2014

IJLSM

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European Directive 2000/53 on end-of-life vehicles (ELVs) introduced new constraints, regulations and recommendations on the vehicle design, waste disposal and take-back policy. Automotive original equipment manufacturers (OEMs) are even more involved in the expected vehicle recovery network modifications. As a consequence, one of the most critical and C. Mora et al.challenging issues for reverse logistics (RL) management is the development of effective tools to support strategic, tactical and operational decisions to yield the maximum economic benefit in compliance with the reference regulations. In this paper, a mixed integer linear programming (MILP) model for ELV closed-loop network design is proposed. The network cost minimisation objective function, the integration of forward and reverse logistics and the inclusion of remanufacturing activities for vehicle module reuse represent the model key features. The proposed model is, further, applied on a realistic Italian case-study and the results of a sensitivity analysis are presented to identify the parameters most affecting the model outcomes.Reference to this paper should be made as follows: Mora, C., Cascini, A., Gamberi, M., Regattieri, A. and Bortolini, M. (2014) 'A planning model for the optimisation of the end-of-life vehicles recovery network', Int. . His research topics deal with the design and optimisation of complex production (manufacturing) systems and renewable energy systems. In this context his activity is mainly focused on the study and experimentation of solar conversion devices, with particular attention to the technical feasibility and to the economical profitability of concentrating and non-concentrating solar systems.

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“…A study can be conducted for obtaining comprehensive information on the company's structure and significant insights on the forward supply chain network. To this purpose, the following data can prove useful for the entire project: the demand patterns of the under review types of products, the geographical distribution of the demand (a more dispersed geographical market area hinders the collection of the EOL products), the desired customer service levels, the typical operational conditions and frequency of use of a product that are directly related to its EOL condition, the disassemblability of the examining products (destructive or non-destructive), the homogeneity of the components of each product (homogeneous components facilitates the recycling process), the existence of toxic and hazardous materials in specific products, the weight and volume of the EOL products that determine the ease of their transportation, the possibility that the existing logistics information systems could support the reverse logistics processes (Lau et al, 2004), etc. Furthermore, the system's profit and cost parameters should be properly estimated, so as to evaluate the profitability of the recovery processes.…”

Section: Phase Ii: Analytical Mapping Of System's Current Condition Amentioning

confidence: 99%

A strategic methodological optimisation framework for the design of a reverse logistics network with forward supply channel synergies

Xanthopoulos

Iakovou

2010

IJLSM

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Today, an ever increasing number of enterprises undertake significant steps in order to maximise the financial value recovered from End-of-Life (EOL) products, while ensuring sustainable development. In this context, this work deals with the optimal configuration of efficient reverse logistics networks. More specifically, we first present a five-phased strategic methodological model for the development of reverse supply chains. Then, we provide a new mathematical programming model for enterprises that have already structured their forward supply chain and aim at being involved in EOL products' recovery processes. An application of the optimisation model is demonstrated, while obtained managerial insights are discussed.Reference to this paper should be made as follows: Xanthopoulos, A. and Iakovou, E. (2010) 'A strategic methodological optimisation framework for the design of a reverse logistics network with forward supply channel synergies', Int.

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Implementation of logistics information system to support reverse logistics: a case study

Cited by 10 publications

References 12 publications

An ISM-based approach analyzing interactions among variables of reverse logistics in automobile industries

An ISM-based approach analyzing interactions among variables of reverse logistics in automobile industries

A planning model for the optimisation of the end-of-life vehicles recovery network

A strategic methodological optimisation framework for the design of a reverse logistics network with forward supply channel synergies

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