A comprehensive bibliography on effectiveness measurement of manufacturing systems

Goyal, Sanjeev; Grover, Sandeep

doi:10.5267/j.ijiec.2012.03.009

Cited by 13 publications

(10 citation statements)

References 96 publications

(107 reference statements)

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“…TISM is a modified extended version of interpretive structural modeling with the inclusion of transitive links in the model. TISM has been used successfully by various researchers in several areas such as total quality management, telecom sector, cloud computing, pharmaceutical, education sector and strategic management (Jain and Raj, 2015; Dubey and Ali, 2014; Goyal and Grover, 2012; Mangla et al , 2014; Prasad and Suri, 2011; Singh and Sushil, 2013; Srivastava and Sushil, 2014; Yadav, 2014). The TISM approach is based on systems theory and graph theory, which help to solve complex problems and interactions of large set of variables with a holistic view (Rajagopalan and Batra, 1975; Tichy et al , 1979; Eisenack and Petschel-Held, 2002).…”

Section: Methodsmentioning

confidence: 99%

“…Despite the increasing popularity of TISM as a framework development tool, researchers very rarely attempted to use this methodology on solid waste management policy formulation. (Goyal and Grover, 2012; Mangla et al , 2014; Prasad and Suri, 2011. The use of TISM as an alternative research method offers flexibility to interpret the link of complex conceptual model (Dubey et al , 2017).…”

Section: Introductionmentioning

confidence: 99%

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Conceptual frameworks for the drivers and barriers of integrated sustainable solid waste management

Gopal

Patil

Shibin

et al. 2018

MEQ

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Purpose The purpose of this paper is to formulate frameworks for the drivers and barriers of integrated sustainable solid waste management (ISSWM) with reference to conditions prevailing in India. Design/methodology/approach A multi-phased approach was adopted in this paper to come up with the conceptual framework of the drivers and barriers of ISSWM. In the first phase, drivers and barriers of ISSWM were identified based on a systematic literature review process. In the second phase, 25 experts having 15 plus years of experience in the field of sustainable development and environmental management were consulted to get their opinion. Validation and understanding of the interrelationship among the selected drivers and barriers were done based on the insights from expert interviews. And in the final phase, structural self-interaction matrix and transitive links are defined based on the expert opinion to come up with the theoretical frameworks of drivers and barriers of ISSWM. Findings Findings reveal the importance to have a system view point approach by giving equal importance to social, environmental and economic pillars of sustainability along with the technology component to effectively and sustainably manage the solid waste disposal. Institutional effectiveness and the robust policy and frameworks are the two variables found to have the highest driving power. Poor social values and ethics, huge population and illiteracy are the three most critical barriers faced by developing nations in achieving the sustainability practices in the solid waste management. The proposed frameworks of drivers and barriers of ISSWM will definitely help policy makers to effectively manage the sustainable waste management practices for developing economies by focusing on the key variables listed out. Research limitations/implications One of the limitations is in the use of very limited sample size in the study. Another limitation is that total interpretive structural modeling fails to come up with the relative weightings of drivers and barriers used in the study. These limitations can be overcome by extending the research by using a semi-structured questionnaire survey with higher sample size for the empirical validation of the model. Practical implications This research will help to clearly understand the framework of drivers and barriers of variables and their hierarchical level based on the driving power and dependence. Since such articles focusing on the conceptual frameworks of drivers and barriers of ISSWM are found to be very scant, this paper will equally help academicians and waste management professionals to understand the concepts deeply, by getting answers to the fundamental questions of “what,” “why” and “how.” Developed framework of drivers explicitly shows the need to attain financial stability through the commercialization of the waste management initiatives, which will help to reduce burden on various governmental institutions. Commercialization opportunities will also help to have more successful start-up ventures in solid waste management domain that can provide improved employment opportunities and hygiene environment in the developing nations like India. Originality/value Based on the authors’ best knowledge, there is hardly any article that explicitly explains the conceptual frameworks of the drivers and barriers of ISSWM by considering the conditions prevailing in developing countries like India. And thus, this can be considered as one of the unique research attempts to build a clear conceptual framework of ISSWM. The study contributes significantly to the existing literature body by clearly interpreting the interrelationships and the driving power and dependence of variables of ISSWM.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Conceptual frameworks for the drivers and barriers of integrated sustainable solid waste management

Gopal

Patil

Shibin

et al. 2018

MEQ

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“…Adhikary et al [21] accomplished RAM investigation of coal-fired thermal power plants. Goyal and Grover [22] comprises a comprehensive bibliography on effectiveness measurement of manufacturing systems. Kumar [23] used Markov approach to analyze an availability simulation model for power generation system.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling and performance evaluation of A-pan crystallization system in a sugar industry

2019

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In this paper, an effort has been made to formulate a mathematical model of A-pan crystallization system of a sugar plant using fuzzy reliability approach. The sugar plant comprises eight subsystems. A-pan crystallization system is one of the most important representative among sugar plant systems. The A-pan crystallization system has four subsystems arranged in a series. The configuration of first and second subsystems is 2-out-of-2: G with two cold standby while third and fourth subsystems are in single-unit configuration. A mathematical model has been proposed by considering exponential distribution for failure and repair rates. By considering fuzzy reliability approach and Markov birth-death model differential equations have been derived. These equations are then solved by Runge-Kutta method of fourth order using MATLAB (Ode 45 function) to obtain the fuzzy availability. The results of the proposed model are beneficial for system designers.

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“…Challenges from global competitors during the past two decades have prompted many manufacturing firms to adopt new manufacturing approaches [2][3][4]. In particular prominent among these is lean manufacturing [5,6].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Technology Effectiveness of Lean Manufacturing Using System Dynamics

Hosseini-Nasab

Dehghani

Hosseini-Nasab

2013

ISRN Industrial Engineering

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In today’s competitive environment, organizations are seeking to improve their position in the market. Lean manufacturing is an effective tool for elevating the competitiveness of organizations based on the fact that each can find its own way of improvement. Technology improvement is considered to be one of lean manufacturing’s dimensions. Technology is defined as the usage and knowledge of tools, techniques, crafts, systems, or methods of organization, with the aim of solving a problem or creating an artistic perspective. A dynamic model could be appropriate for analyzing the interrelated behavior of technology and lean manufacturing. Despite the fact that there are plenty of papers and case studies on the applications of Lean manufacturing in organizations, only a few are focused on the dynamic aspects of the system. In this paper, a dynamic model is presented in which Lean manufacturing is linked with technology by causal relationships. The notable advantage of the presented model is the ability to alter a parameter to find how it affects others parameters by considering key results. Thus, it is reasonable to expect that the results of such analysis could somewhat improve the efficiency of technology improvement on Lean manufacturing.

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A comprehensive bibliography on effectiveness measurement of manufacturing systems

Cited by 13 publications

References 96 publications

Conceptual frameworks for the drivers and barriers of integrated sustainable solid waste management

Conceptual frameworks for the drivers and barriers of integrated sustainable solid waste management

Mathematical modeling and performance evaluation of A-pan crystallization system in a sugar industry

Analysis of Technology Effectiveness of Lean Manufacturing Using System Dynamics

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