Evaluating Logistics Decisions

Kleinsorge, Ilene K.; Schary, Philip B.; Tanner, Ray

doi:10.1108/eum0000000000346

Cited by 25 publications

(24 citation statements)

References 1 publication

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“…Published applications from this period addressed more complex issues involving property tax valuation (Adolphson et al 1987(Adolphson et al , 1989, software development (Banker et al 1987, Banker andKemerer 1989), institutions ofhigher learning (Ahn 1987, Ahn et al 1988b, university departments (Beasley 199Oa;Tomkins and Green 1988), energy use (Baxter et al 1986), DRG reimbursement (Borden 1986, 19X8), site selection (Bowen 1990a;), spatial efficiency (Desai and Storbeck 1990), farming (Byrnes et al 1987), unions (Byrnes et al 1988), sports (Camm and Grogen 1988), electric cooperatives (Chames et al 1989b), Chinese cities (Charnes et al 1989d), individual physicians (Chilingerian 1989, Chilingerian andSherman 1990), highway maintenance , regulatory environments (Fare et al 1986(Fare et al , 1989b, organizational slack (Golden 1989), airlines (Johnston 1990), logistics systems (Kleinsorge et al 1989), parks (Rhodes 1986), pubs (Sant 1989), construction (Shash 1988), telecommunications (Majumdar 1990), and U.S. Army recruiting (Thomas 1990).…”

Section: State Of the Art Circa 1990mentioning

confidence: 99%

Data envelopment analysis: The evolution of the state of the art (1978?1995)

1996

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The purpose of this paper is to briefly trace the evolution of DEA from the initial publication by Charnes et al. (1978b) to the current state of the art (SOA). The state of development of DEA is characterized at four points in time to provide a perspective in both directions-past and f&ue. An evolution map is provided which illustrates DEA growth during the 17year period, the timing of the major events, and the interconnections and influences between topics. An extensive DEA bibliogmphy is provided.

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Section: State Of the Art Circa 1990mentioning

confidence: 99%

Data envelopment analysis: The evolution of the state of the art (1978?1995)

1996

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“…Without a proper logistics and supply chain strategy, or even an imperfect definition or missing implementation of a logistics and supply chain strategy, logistics decisions are often taken with inadequate information, solely based on intuition [47]. For this reason, the selection and deduction of logistics and supply chain strategies have been discussed for several decades, and is well covered in the academic literature [1,2,25,[48][49][50].…”

Section: Strategy Implementationmentioning

confidence: 99%

“…Therefore, in practice, it can in most cases only be insufficiently addressed by standard costing systems [47].…”

Section: Strategy Implementationmentioning

confidence: 99%

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Management control systems in logistics and supply chain management: a literature review

et al. 2009

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The purpose of this article is to provide an overview of the literature covering the area of management control systems (MCS) in logistics and supply chain management (SCM). It is motivated by the increasing attention the two fields of MCS and logistics/SCM have lately attained, fueled by an augmenting competitive pressure companies are facing. For logistics and supply chain practitioners to realize the existing potentials, effective MCS are necessary. In order to facilitate future research in the field of MCS, which consequently also benefits practitioners, it is necessary to consolidate the extant literature. To do so and to identify promising avenues for future research is the purpose of this article. We provide a literature overview that covers the main aspects of MCS in context of logistics and SCM by applying content analysis. To account for quality of publication, the analysis is restricted to international top journals. The literature review shows foremost that research into the development and implementation of a holistic MCS for logistics and SCM should be intensified which could be achieved by further case studies as well as survey-based studies. More conceptual work could be necessary to enable a better practical utilization of MCS in logistics and supply chain settings. We reveal a considerable potential for further research on MCS in logistics and SCM, from which both research and practice alike will profit.

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“…moved onto the efficient frontier) with suggested directions for improvement. DEA has been previously used to evaluate the technical efficiency of operations in a wide variety of practical applications including such diverse settings as schools (Charnes et al, 1981), highway maintenance (Cook et al, 1990), robotics (Cook et al, 1992), banking (Barr & Siems, 1997), electrical utilities (Fare et al, 1985), textiles (Zhu, 1996), steel (Ray et al, 1998), physician practice (Chilingerian, 1995), and logistics (Kleinsorge et al, 1989). DEA has also been used to provide insights into a variety of environmental issues (see, for example, Fare et al, 2004;Haynes et al, 1997;Sarkis & Weinrach, 2001;Sarkis & Talluri, 2004;Tyteca, 1996Tyteca, , 1997.…”

Section: Envelopment Modelling With Deamentioning

confidence: 99%

Rating and Evaluating the Combined Financial and Environmental Performance of Companies in the Metals and Mining Sector

Yeomans

2004

J ENV INFORM

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ABSTRACT. The basic intent in financial performance evaluation is to appraise current business operations internally and to benchmark them against similar business operations externally in order to identify best-in-class practices. In this paper, a new positive environmental/financial screening approach that can simultaneously include a wide combination of regulatory, technological, operational and event dimensions is created for the analyzing, rating, ranking, benchmarking, and selecting of companies from an industry sector. A method is provided that advances the use of Data Envelopment Analysis (DEA) for rating and ranking diverse groups of companies using a combination of both financial and environmental performance measures. This novel approach proceeds by first stratifying the sector into comparably efficient groups of companies through the construction of a series of efficient DEA frontiers, and then by ranking each company within these groups relative to DEA-based contextual attractiveness measures calculated from the different partitions. The method is illustrated through an application to a group of companies from the Metals and Mining Industry sector.

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Evaluating Logistics Decisions

Cited by 25 publications

References 1 publication

Data envelopment analysis: The evolution of the state of the art (1978?1995)

Data envelopment analysis: The evolution of the state of the art (1978?1995)

Management control systems in logistics and supply chain management: a literature review

Rating and Evaluating the Combined Financial and Environmental Performance of Companies in the Metals and Mining Sector

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