Asset management with reverse product flows and environmental considerations

Sharma, Manu; Ammons, Jane C.; Hartman, Joseph C.

doi:10.1016/j.cor.2005.03.009

Cited by 32 publications

(14 citation statements)

References 38 publications

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“…They also provide managerial guidelines for avoiding liquidity problems associated with RL activities. Sharma et al (2007) develop an MILP model for the simultaneous consideration of RL decisions with equipment leasing ones. After validating the model, they present potential applications of the model for alternative scenarios.…”

Section: Other Issuesmentioning

confidence: 99%

Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art

Ilgın

Gupta

2010

Journal of Environmental Management

812

377

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Section: Other Issuesmentioning

confidence: 99%

Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art

Ilgın

Gupta

2010

Journal of Environmental Management

812

377

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“…The final products or services are produced by using a wide range of other firm assets and bonding mechanisms such as technology, management information systems, an incentive system, trust between management and labour and more (Amit and Schoemaker, 1993). Logistics is source of competitive advantage (Christopher, 1998;Feng and Yuan, 2006;Sharma et al, 2007), whereas Skinner (1969), Hayes and Wheelwright (1984) and Pisano and Shih (2009) regarded manufacturing as the source of competitive advantage. Barney (1986Barney ( , 1991 also suggested that capital, human capital and organizational capital are strategically relevant resources.…”

Section: Source Of Competitive Advantagementioning

confidence: 99%

“…Logistics competency has a positive impact on firm performance (Dubey and Ali, 2011;Sharma et al, 2007;Carvalho and Dias, 2000;Bowersox, 1990;Williamson et al, 1990;Christopher, 1998):…”

Section: Hypotheses Of the Studymentioning

confidence: 99%

Exploring dimensions of firm competencies and their impact on performance

Dubey

Singh

Ali

et al. 2014

Benchmarking: An International Journal

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Purpose -The purpose of this paper is to explore the dimensions of Indian manufacturing firms' competencies and to study the impact of these competencies on firm performance. Design/methodology/approach -The authors have adopted a literature survey to identify variables and gaps in the research. Based on the construct and its item identified through the literature review the authors have developed a structured questionnaire which was pre-tested before being used for the final survey. The authors have collected data from 100 firms out of 275 targeted firms in two phases which represents a 36.36 per cent response rate. The data have been subjected to exploratory factor analysis (EFA) using varimax rotation, which reduced the data into seven parsimonious and orthogonal factors. The authors then carried out regression analysis using EFA output to test the relationship between six independent variables, representing competencies of the firm and performance. Findings -Findings show that EFA has reduced the data into seven factors, out of which six represent firm competencies and one represents firm performance. The competencies which have been identified are supply-demand coordination and product pricing, logistics, marketing, procurement, manufacturing simplicity and product quality and preventive maintenance. The EFA output was further tested using multiple linear regression analysis which shows that out of six competencies, four are positively supporting, except procurement which is negatively supporting and logistics which is found to be statistically insignificant.The current issue and full text archive of this journal is available atResearch limitations/implications -The conclusive model suggests that there is considerable impact from other deterministic variables which are not assumed in the present study, and some of the variance has been accounted for by stochastic variables and response error. However, utmost care has been taken to minimise response error by personal follow-up with each of these firms. The outcome of the quantitative analysis provides an insight into firm competencies and their impact on firm performance. It is very important for the managers who are interested in deriving superior performance from their firm and focusing on supply-demand coordination and product pricing, manufacturing simplicity, marketing and product quality and preventive maintenance practices. Originality/value -This original study has been carried out by researchers in India on Indian manufacturing firms and adopted an EFA technique to identify dimensions which are unique in their contribution.

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“…Badran and El-Haggar (2006) proposed a model for MSW management for Port Said, which minimized the municipal solid waste management system cost using mixed integer programming, by selecting the best location for collection stations from the given candidate locations. Sharma et al (2007) presented a mixed integer linear program-ming model with a single objective of minimization of cost, aimed at facilitating better leasing and logistics decisions (including end-of-life disposal options), from the perspective of an electronic equipment leasing company.…”

Section: Materials Flow Analysis In Waste Managementmentioning

confidence: 99%

A Goal Programming Based Multi-Time Step Optimal Material Flow Analysis Model for Integrated Computer Waste Management

Ahluwalia¹

2007

J ENV INFORM

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ABSTRACT. Management of computer waste is a growing concern and is more serious in developing countries where rudimentary methods of reuse, recovery and disposal are in frequent use which poses grave environmental and health hazards. Hence there is a clear reason to be concerned about the management scheme for computer waste which will be cost effective and also environmentally friendly. However, assessment of risk from the management of computer waste is a difficult task due to uncertainty in exact composition of toxic constituents and their release mechanism in the environment. The present study attempts to assess the risk associated with various computer waste management activities in relative terms and presents an integer linear goal programming based multi time step optimal material flow analysis model to achieve satisfaction of multiple objectives of economy and health and environmental risk. The model selects various treatment and disposal facilities from a given set and allocates optimum quantities of waste to them along chosen transportation routes, depending on different priorities to cost and risk. An illustrated hypothetical example of computer waste management is presented to demonstrate the usefulness of the proposed formulation. Uncertainty in the waste generation quantities has been addressed using Monte Carlo simulation.

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Asset management with reverse product flows and environmental considerations

Cited by 32 publications

References 38 publications

Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art

Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art

Exploring dimensions of firm competencies and their impact on performance

A Goal Programming Based Multi-Time Step Optimal Material Flow Analysis Model for Integrated Computer Waste Management

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