Pub Date : 2018-12-01DOI: 10.1109/POMS.2018.8629442
Pawan Goel, Jayakrishna Kandasamy, L. G, V. Manupati, V. Kek
Plastic part manufacturing organizations have witnessed tremendous growth and significant contribution to GDP in India. Still, it has poor public image due to environmental vulnerability and adverse working conditions. Many companies have adopted sustainable manufacturing as a means of improving competitive advantage, public perception and to cope with government regulations. However, for enabling sustainability, practices need to be developed and deployed based on scientific prioritization. In this study, Interpretive Structural Modeling based framework has been developed to critically analyze interrelationships and interactions among practices pertaining to the plastic part manufacturing process. Based on the analysis, the practices have been hierarchically classified into interdependent, dependent, and linkage construct. This hierarchy can be used by the decision maker during the implementation of sustainable manufacturing practices in other facility locations.
{"title":"Modelling Sustainable Manufacturing practices for plastic part manufacturing organization using Interpretive Structural Modeling","authors":"Pawan Goel, Jayakrishna Kandasamy, L. G, V. Manupati, V. Kek","doi":"10.1109/POMS.2018.8629442","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629442","url":null,"abstract":"Plastic part manufacturing organizations have witnessed tremendous growth and significant contribution to GDP in India. Still, it has poor public image due to environmental vulnerability and adverse working conditions. Many companies have adopted sustainable manufacturing as a means of improving competitive advantage, public perception and to cope with government regulations. However, for enabling sustainability, practices need to be developed and deployed based on scientific prioritization. In this study, Interpretive Structural Modeling based framework has been developed to critically analyze interrelationships and interactions among practices pertaining to the plastic part manufacturing process. Based on the analysis, the practices have been hierarchically classified into interdependent, dependent, and linkage construct. This hierarchy can be used by the decision maker during the implementation of sustainable manufacturing practices in other facility locations.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115705046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/POMS.2018.8629443
A. Edirisuriya, S. Weerabahu, Ruwan Wickramarachchi
Sustainability is emerging as a main consideration throughout the industrial world due to the environmental pollution and degradation happening in a major scale as a result of industrial wastes while lean management is becoming a popular management tool in minimizing waste. Logistics industry contributes for these issues due to the wastes released in a considerable amount. Experts have highlighted that implementing lean principles in parallel to green concepts is more successful; which could lead to waste and cost reduction. A theoretical gap has been identified in the field of logistics in applying lean and green concepts in the context of Industry 4.0. A comprehensive literature review was conducted to address the identified research gap with the objective of examining the important lean practices and green concepts which are expected to enhance the operational performance of logistics functions. A key word based search, analysis of the topic and abstract, full text review were the steps followed respectively, for selecting the most relevant research papers which have been proven as valid, accepted and published to extract the knowledge for this study. As the major contribution, authors have developed a conceptual framework which focuses on the enhancement of operational performance of logistics operations by applying lean and green concepts with special reference to Industry 4.0 technologies. The results of the study will be beneficial for the LSP as it will suggest the strategies, concepts and techniques to enhance the operational performance of logistics functions.
{"title":"Applicability of Lean and Green Concepts in Logistics 4.0: A Systematic Review of Literature","authors":"A. Edirisuriya, S. Weerabahu, Ruwan Wickramarachchi","doi":"10.1109/POMS.2018.8629443","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629443","url":null,"abstract":"Sustainability is emerging as a main consideration throughout the industrial world due to the environmental pollution and degradation happening in a major scale as a result of industrial wastes while lean management is becoming a popular management tool in minimizing waste. Logistics industry contributes for these issues due to the wastes released in a considerable amount. Experts have highlighted that implementing lean principles in parallel to green concepts is more successful; which could lead to waste and cost reduction. A theoretical gap has been identified in the field of logistics in applying lean and green concepts in the context of Industry 4.0. A comprehensive literature review was conducted to address the identified research gap with the objective of examining the important lean practices and green concepts which are expected to enhance the operational performance of logistics functions. A key word based search, analysis of the topic and abstract, full text review were the steps followed respectively, for selecting the most relevant research papers which have been proven as valid, accepted and published to extract the knowledge for this study. As the major contribution, authors have developed a conceptual framework which focuses on the enhancement of operational performance of logistics operations by applying lean and green concepts with special reference to Industry 4.0 technologies. The results of the study will be beneficial for the LSP as it will suggest the strategies, concepts and techniques to enhance the operational performance of logistics functions.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122498209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/POMS.2018.8629490
M. Kurukulasuriya, J. Gamage, J. Mangala
Manufacturing by material removal processes leaves a significant environmental footprint caused by the energy and resources consumed, and releases. Thus, there is an increased attention on sustainable manufacturing methods. This leads to quantification of environmental performance of manufacturing processes to direct preventive measures for promoting green manufacturing. Milling is a widely used machining method in conventional manufacturing. The objective of this review is to investigate the significance of energy consumption in milling machining to their environmental footprint. The review shows that process energy consumption leaves a significant environmental footprint and suggests operations related improvements to reduce the energy consumption for the better environmental performance of milling.
{"title":"A review on the impact of process energy on the environmental performance of milling","authors":"M. Kurukulasuriya, J. Gamage, J. Mangala","doi":"10.1109/POMS.2018.8629490","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629490","url":null,"abstract":"Manufacturing by material removal processes leaves a significant environmental footprint caused by the energy and resources consumed, and releases. Thus, there is an increased attention on sustainable manufacturing methods. This leads to quantification of environmental performance of manufacturing processes to direct preventive measures for promoting green manufacturing. Milling is a widely used machining method in conventional manufacturing. The objective of this review is to investigate the significance of energy consumption in milling machining to their environmental footprint. The review shows that process energy consumption leaves a significant environmental footprint and suggests operations related improvements to reduce the energy consumption for the better environmental performance of milling.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121478230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/POMS.2018.8629444
V. Manupati, Siddharth Madan, Somnath Lahiri, J. K.
Cross-docking is a technique used for scheduling the vehicles in distribution centers more effectively. Cross-Docking Centre (CDC) acts as a temporary distribution center that undergoes three important functions i.e., the goods from inbound trucks are continuously sorted, consolidated and then loaded onto outbound trucks for delivery to the customers. In this paper, an effective Cross-docking framework by considering the different performance measures in inbound and outbound doors has been developed. Subsequently, a multi-objective linear programming model has been developed for optimizing the objectives i.e., minimization of earliness and tardiness for the outbound trucks in a stochastic environment. Moreover, with FLEXSIM based simulation approach the analysis has been conducted and the effectiveness of the proposed framework. Finally, the results are evaluated and validated.
{"title":"A novel framework and effective scheduling of cross-docking center for multi-objective truck Scheduling Problem","authors":"V. Manupati, Siddharth Madan, Somnath Lahiri, J. K.","doi":"10.1109/POMS.2018.8629444","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629444","url":null,"abstract":"Cross-docking is a technique used for scheduling the vehicles in distribution centers more effectively. Cross-Docking Centre (CDC) acts as a temporary distribution center that undergoes three important functions i.e., the goods from inbound trucks are continuously sorted, consolidated and then loaded onto outbound trucks for delivery to the customers. In this paper, an effective Cross-docking framework by considering the different performance measures in inbound and outbound doors has been developed. Subsequently, a multi-objective linear programming model has been developed for optimizing the objectives i.e., minimization of earliness and tardiness for the outbound trucks in a stochastic environment. Moreover, with FLEXSIM based simulation approach the analysis has been conducted and the effectiveness of the proposed framework. Finally, the results are evaluated and validated.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115839468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/POMS.2018.8629496
R. Ben Ruben, Prasanth Menon, Raja Sreedharan
Modern manufacturing organizations have started to adopt sustainable manufacturing strategies to enhance their competitiveness and to enrich their business practices at an enterprise level. This is achieved by creating a balance between the environmental, economic and societal dimensions of sustainability. Life Cycle Assessment (LCA) is one of the approaches of sustainable manufacturing that models complex interaction between the aforesaid dimensions of a product, from cradle to grave. LCA can be performed as Environmental Life Cycle Assessment (E - LCA) and Social Life Cycle Assessment (S -LCA) considering the need and contribution of stakeholders involved. In literature, various researchers have discussed about the Environmental LCA and their application pertaining to manufacturing organizations. A very few studies have focused on the Social LCA part and no concrete research has been reported on the development of a generic Social LCA framework for manufacturing organizations. This study presents the development of a generic framework for conducting Social LCA for manufacturing organizations. The developed framework is a two-level model consisting of first level stakeholders and second level subcategories. The model consists of three first level stakeholders and nine second level sub categories. Three impact categories namely Working Conditions (WC), Health and Safety (HS), Socio-economic repercussions (SE) were selected for this study. The framework was validated with a case study conducted at a manufacturing organization. The results of the assessment are discussed to obtain inference. The developed framework would be useful for manufacturing organizations for conducting Social LCA and to augment their societal dimension of sustainability
{"title":"Development of a Social Life Cycle Assessment framework for manufacturing organizations","authors":"R. Ben Ruben, Prasanth Menon, Raja Sreedharan","doi":"10.1109/POMS.2018.8629496","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629496","url":null,"abstract":"Modern manufacturing organizations have started to adopt sustainable manufacturing strategies to enhance their competitiveness and to enrich their business practices at an enterprise level. This is achieved by creating a balance between the environmental, economic and societal dimensions of sustainability. Life Cycle Assessment (LCA) is one of the approaches of sustainable manufacturing that models complex interaction between the aforesaid dimensions of a product, from cradle to grave. LCA can be performed as Environmental Life Cycle Assessment (E - LCA) and Social Life Cycle Assessment (S -LCA) considering the need and contribution of stakeholders involved. In literature, various researchers have discussed about the Environmental LCA and their application pertaining to manufacturing organizations. A very few studies have focused on the Social LCA part and no concrete research has been reported on the development of a generic Social LCA framework for manufacturing organizations. This study presents the development of a generic framework for conducting Social LCA for manufacturing organizations. The developed framework is a two-level model consisting of first level stakeholders and second level subcategories. The model consists of three first level stakeholders and nine second level sub categories. Three impact categories namely Working Conditions (WC), Health and Safety (HS), Socio-economic repercussions (SE) were selected for this study. The framework was validated with a case study conducted at a manufacturing organization. The results of the assessment are discussed to obtain inference. The developed framework would be useful for manufacturing organizations for conducting Social LCA and to augment their societal dimension of sustainability","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123103480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/POMS.2018.8629480
M. Dieste, A. Viagi, R. Panizzolo, Reinaldo Fagundes dos Santos, F. Marins
In 2010, the legislation regarding the Brazilian Policy of Solid Waste (BPSW) was introduced in Brazil. It is the legal framework for solid waste management that differentiates what is recyclable and from what is not. The BPSW features innovations such as Reverse Logistics (RL) which determines that manufacturers, importers, distributors and retailers must perform the collection of used packaging and products like batteries, light bulbs, electronics, etc. The aim of this paper is to propose a framework that helps indicating which would be, among the National Collective and Clearing House models used in European countries, the most suitable scheme for reverse logistics of Waste Electrical and Electronic Equipment (WEEE) according to the Brazilian reality. For this purpose, the paper analyses the existing literature and various relevant practices used in Europe. Moreover, data regarding the Brazilian environmental legislation and the characteristics of each state were used to evaluate the possible use of the European reverse logistics models. The framework helps to define the Brazilian case in three stages and suggests that the most suitable model for Brazil is the National Collective. This decision is urgent since it has been proposed that many European countries should also implement this model instead of the currently employed. Finally, a structured framework is proposed, facilitating the decision-making process to be carried out by various stakeholders such as the Brazilian Federal Government, municipal authorities, industries, recyclers and service providers. In this way, the WEEE management and logistics organization would be easier in the Brazilian territory.
{"title":"Reverse logistics models for the collection of Waste Electrical and Electronic Equipment: the Brazilian case","authors":"M. Dieste, A. Viagi, R. Panizzolo, Reinaldo Fagundes dos Santos, F. Marins","doi":"10.1109/POMS.2018.8629480","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629480","url":null,"abstract":"In 2010, the legislation regarding the Brazilian Policy of Solid Waste (BPSW) was introduced in Brazil. It is the legal framework for solid waste management that differentiates what is recyclable and from what is not. The BPSW features innovations such as Reverse Logistics (RL) which determines that manufacturers, importers, distributors and retailers must perform the collection of used packaging and products like batteries, light bulbs, electronics, etc. The aim of this paper is to propose a framework that helps indicating which would be, among the National Collective and Clearing House models used in European countries, the most suitable scheme for reverse logistics of Waste Electrical and Electronic Equipment (WEEE) according to the Brazilian reality. For this purpose, the paper analyses the existing literature and various relevant practices used in Europe. Moreover, data regarding the Brazilian environmental legislation and the characteristics of each state were used to evaluate the possible use of the European reverse logistics models. The framework helps to define the Brazilian case in three stages and suggests that the most suitable model for Brazil is the National Collective. This decision is urgent since it has been proposed that many European countries should also implement this model instead of the currently employed. Finally, a structured framework is proposed, facilitating the decision-making process to be carried out by various stakeholders such as the Brazilian Federal Government, municipal authorities, industries, recyclers and service providers. In this way, the WEEE management and logistics organization would be easier in the Brazilian territory.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121877761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/POMS.2018.8629468
Rashid Anzoom, M. A. A. Hasin
Demand for Iogistical services is highly dynamic, due to its high market growth. In Bangladesh, air logistics is evolving at a fast pace, both in terms of passenger and cargo transportation. As a result, several local private and international airlines are trying to capture market share in this promising sector. For survival in such tough competition, optimization in operations is indispensable. This research focuses on the optimal fleet assignment with Ant Colony algorithm. In this rapidly expanding market, short to mid-term demands of passenger were estimated using regression analysis. Then, from a database of routes and aircraft capacity, a model was developed to estimate profitability from fleet assignment with relative ease. Finally, ant colony algorithm was used to find the optimal assignment. Although previous researches on fleet assignment were done using Genetic algorithm, only current-level of demand for Iogistical service was considered. This research considers it as dynamic and projected into the future. The results obtained in this research show that dynamic demand consideration gives much better results as well as better utilization of resources. And these contributed to the reduction of operational cost as well as the increase in revenue. As a result, profit was optimized. For midterm and long-term projection, demand becomes gradually probabilistic. However, this research considered it as deterministic; otherwise, the problem becomes an NP-hard problem, which is difficult to solve. This research is expected to be of immense help to the air industry of Bangladesh. Because of similarity in business nature, this can be marginally adapted in other countries as well.
{"title":"Optimal Fleet Assignment Using Ant Colony Algorithm","authors":"Rashid Anzoom, M. A. A. Hasin","doi":"10.1109/POMS.2018.8629468","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629468","url":null,"abstract":"Demand for Iogistical services is highly dynamic, due to its high market growth. In Bangladesh, air logistics is evolving at a fast pace, both in terms of passenger and cargo transportation. As a result, several local private and international airlines are trying to capture market share in this promising sector. For survival in such tough competition, optimization in operations is indispensable. This research focuses on the optimal fleet assignment with Ant Colony algorithm. In this rapidly expanding market, short to mid-term demands of passenger were estimated using regression analysis. Then, from a database of routes and aircraft capacity, a model was developed to estimate profitability from fleet assignment with relative ease. Finally, ant colony algorithm was used to find the optimal assignment. Although previous researches on fleet assignment were done using Genetic algorithm, only current-level of demand for Iogistical service was considered. This research considers it as dynamic and projected into the future. The results obtained in this research show that dynamic demand consideration gives much better results as well as better utilization of resources. And these contributed to the reduction of operational cost as well as the increase in revenue. As a result, profit was optimized. For midterm and long-term projection, demand becomes gradually probabilistic. However, this research considered it as deterministic; otherwise, the problem becomes an NP-hard problem, which is difficult to solve. This research is expected to be of immense help to the air industry of Bangladesh. Because of similarity in business nature, this can be marginally adapted in other countries as well.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126677039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/poms.2018.8629472
{"title":"POMS 2018 Sponsors","authors":"","doi":"10.1109/poms.2018.8629472","DOIUrl":"https://doi.org/10.1109/poms.2018.8629472","url":null,"abstract":"","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132853683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/poms.2018.8629487
{"title":"POMS 2018 Conference Committees","authors":"","doi":"10.1109/poms.2018.8629487","DOIUrl":"https://doi.org/10.1109/poms.2018.8629487","url":null,"abstract":"","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134479568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/POMS.2018.8629439
I. Bandaranayake, K. K. K. Sylva, K. Kulatunga
Increasing productivity while maintaining quality is a challenge for most managers. If this is to be done with available manpower and equipment, the task is further complicated. The process becomes more challenging with the gaps in reliable measuring tools defined for public sector performance with increasing bureaucratization. Out of the few options available to address this problem, work-flow reengineering can be considered as one option that could have an impact on productivity. This case study research was carried out on a workshop that has practiced a routine workflow with traditional practices interwoven with redundant tasks. The process has a negative impact on delivery performance, product quality and accountability of the workers. An information black-box could be observed. The research study was carried out to investigate the present status of the engineering workshop and propose a workflow re-engineering for the workshop. A qualitative study, comprising of six indepth interviews and two focus group discussions, were conducted in order to gather primary data and secondary data from office records were used to fill in gaps. Data analysis was done through transcribing, coding, and categorising the data to identify general process flow. Thereafter, Key Performance Indicators (KPI's) were developed to measure the efficiency of primary operations at various levels. Finally, based on the anlaysis, a re-engineered process model was proposed to improve the job-shop productivity.
{"title":"Investigation of Process Re-engineering on Jobshop Environment: A Case Study on Engineering Faculty Workshop","authors":"I. Bandaranayake, K. K. K. Sylva, K. Kulatunga","doi":"10.1109/POMS.2018.8629439","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629439","url":null,"abstract":"Increasing productivity while maintaining quality is a challenge for most managers. If this is to be done with available manpower and equipment, the task is further complicated. The process becomes more challenging with the gaps in reliable measuring tools defined for public sector performance with increasing bureaucratization. Out of the few options available to address this problem, work-flow reengineering can be considered as one option that could have an impact on productivity. This case study research was carried out on a workshop that has practiced a routine workflow with traditional practices interwoven with redundant tasks. The process has a negative impact on delivery performance, product quality and accountability of the workers. An information black-box could be observed. The research study was carried out to investigate the present status of the engineering workshop and propose a workflow re-engineering for the workshop. A qualitative study, comprising of six indepth interviews and two focus group discussions, were conducted in order to gather primary data and secondary data from office records were used to fill in gaps. Data analysis was done through transcribing, coding, and categorising the data to identify general process flow. Thereafter, Key Performance Indicators (KPI's) were developed to measure the efficiency of primary operations at various levels. Finally, based on the anlaysis, a re-engineered process model was proposed to improve the job-shop productivity.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129354702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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