Pub Date : 2018-12-01DOI: 10.1109/POMS.2018.8629458
Jukka Hemilä, J. Jansson
The process industry faces a strong need to increase product quality and reduce operating costs and its environmental footprint. Plant-wide monitoring and control is a requirement for achieving economically and environmentally efficient operation. The Coordinating Optimization of Complex Industrial Processes (COCOP) project’s objective is to define, design and implement a concept that integrates existing industrial control systems with efficient data management and optimization methods, and provides a means to monitor and control large industrial production processes. This paper looks at the COCOP development from the business perspective of a copper-smelting pilot case. Business Model Canvas and Business Environmental Map methodologies were used in the pilot case workshops for studying potential business models and business environments related to the COCOP solution.
{"title":"Business view on the development of industrial plant-wide optimization tool","authors":"Jukka Hemilä, J. Jansson","doi":"10.1109/POMS.2018.8629458","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629458","url":null,"abstract":"The process industry faces a strong need to increase product quality and reduce operating costs and its environmental footprint. Plant-wide monitoring and control is a requirement for achieving economically and environmentally efficient operation. The Coordinating Optimization of Complex Industrial Processes (COCOP) project’s objective is to define, design and implement a concept that integrates existing industrial control systems with efficient data management and optimization methods, and provides a means to monitor and control large industrial production processes. This paper looks at the COCOP development from the business perspective of a copper-smelting pilot case. Business Model Canvas and Business Environmental Map methodologies were used in the pilot case workshops for studying potential business models and business environments related to the COCOP solution.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"16 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":"121170645","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.2018.8629477
Thashika Rupasighe, Sadna Dissanayake
In spite of the globalization and high customer demand, the performance of a company is evaluated by means of value for money created at the least cost. As a critical component of the supply chain, warehouses are faced with immense pressure to fulfil the above expectation. However, major part of this challenge can only be influenced at the design of a warehouse. Many studies have been published on the diverse set of approaches in optimizing a warehouse design; however, these lack practical attributes. Therefore, the objective of this paper is twofold. In the first phase the study bridges the gap by a thorough systematic review of literature to identify and assess the warehouse design parameters and the associate factors and in the second phase develops a comprehensive warehouse design framework to facilitate decision making to enhance overall supply chain performance.
{"title":"An integrated warehouse design and optimization modelling approach to enhance supply chain performance","authors":"Thashika Rupasighe, Sadna Dissanayake","doi":"10.1109/POMS.2018.8629477","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629477","url":null,"abstract":"In spite of the globalization and high customer demand, the performance of a company is evaluated by means of value for money created at the least cost. As a critical component of the supply chain, warehouses are faced with immense pressure to fulfil the above expectation. However, major part of this challenge can only be influenced at the design of a warehouse. Many studies have been published on the diverse set of approaches in optimizing a warehouse design; however, these lack practical attributes. Therefore, the objective of this paper is twofold. In the first phase the study bridges the gap by a thorough systematic review of literature to identify and assess the warehouse design parameters and the associate factors and in the second phase develops a comprehensive warehouse design framework to facilitate decision making to enhance overall supply chain performance.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"47 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":"121623139","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.2018.8629460
T. Ilangakoon, S. Weerabahu, Ruwan Wickramarachchi
Healthcare is one of the industries that requires the highest quality services for the wellbeing of the society. Today, the demand for healthcare growing rapidly with increasing aging population, rapid urbanization, changing diets, inactive lifestyles and rising obesity levels. The Industry 4.0 technologies and lean techniques can be used to enhance the operational performance of the healthcare supply chain and the patient flow. This paper examines the factors contributing for the inefficiencies in Sri Lankan Healthcare sector and how the operational performance can be optimized through premedical diagnosis of diseases by incorporating Industry 4.0 technologies and lean techniques. Based on a systematic review of literature and feedback of healthcare professionals, the paper identifies the inefficiencies in the current healthcare system. A conceptual framework has been developed by considering the direct impacts from lean management practices and Industry 4.0 technologies on improving operational performance through pre-medical diagnosis of diseases.Thus, patients can take preventive actions and be more health conscious while the healthcare providers and other related parties can plan their medical services and supporting services for arising health requirements making the healthcare industry much more efficient.
{"title":"Combining Industry 4.0 with Lean Healthcare to Optimize Operational Performance of Sri Lankan Healthcare Industry","authors":"T. Ilangakoon, S. Weerabahu, Ruwan Wickramarachchi","doi":"10.1109/POMS.2018.8629460","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629460","url":null,"abstract":"Healthcare is one of the industries that requires the highest quality services for the wellbeing of the society. Today, the demand for healthcare growing rapidly with increasing aging population, rapid urbanization, changing diets, inactive lifestyles and rising obesity levels. The Industry 4.0 technologies and lean techniques can be used to enhance the operational performance of the healthcare supply chain and the patient flow. This paper examines the factors contributing for the inefficiencies in Sri Lankan Healthcare sector and how the operational performance can be optimized through premedical diagnosis of diseases by incorporating Industry 4.0 technologies and lean techniques. Based on a systematic review of literature and feedback of healthcare professionals, the paper identifies the inefficiencies in the current healthcare system. A conceptual framework has been developed by considering the direct impacts from lean management practices and Industry 4.0 technologies on improving operational performance through pre-medical diagnosis of diseases.Thus, patients can take preventive actions and be more health conscious while the healthcare providers and other related parties can plan their medical services and supporting services for arising health requirements making the healthcare industry much more efficient.","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":"131385491","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.2018.8629456
Mudassar Ahmed, K. Chan, D. McFarlane
This paper studies the impact of demand uncertainty and competition on a firms technology selection decision between Additive Manufacturing (AM) and conventional tool-based Dedicated Manufacturing (DM). The paper uses the game-theoretic approach presented in [57], and extends the model from 2 to n players making three sequential decisions under demand uncertainty: (i) choice of technology, (ii) capacity investment, and (iii) production quantities. We find that the conventional wisdom of choosing between flexible manufacturing technology and dedicated tool-based technology holds in the case of AM given there is no demand uncertainty. However, once we take the demand uncertainty into account, a game-theoretical analysis is essential to examine the profitability of switching manufacturing technologies to AM. The research will contribute towards a future empirical study and will help develop an industrially accessible decision support tool for the adoption of AM in a production environment.
{"title":"A Game Theoretic Approach to assessing Additive Manufacturing as a Strategic Choice","authors":"Mudassar Ahmed, K. Chan, D. McFarlane","doi":"10.1109/POMS.2018.8629456","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629456","url":null,"abstract":"This paper studies the impact of demand uncertainty and competition on a firms technology selection decision between Additive Manufacturing (AM) and conventional tool-based Dedicated Manufacturing (DM). The paper uses the game-theoretic approach presented in [57], and extends the model from 2 to n players making three sequential decisions under demand uncertainty: (i) choice of technology, (ii) capacity investment, and (iii) production quantities. We find that the conventional wisdom of choosing between flexible manufacturing technology and dedicated tool-based technology holds in the case of AM given there is no demand uncertainty. However, once we take the demand uncertainty into account, a game-theoretical analysis is essential to examine the profitability of switching manufacturing technologies to AM. The research will contribute towards a future empirical study and will help develop an industrially accessible decision support tool for the adoption of AM in a production environment.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"66 5 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":"117232771","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.2018.8629478
K. Perera, Uthpalee Hewage
Physical cash is a regular exchange medium and the most liquid asset, which is accepted all around the globe. It is vital to study on cash logistics in developing countries with the continuous expansion of commercial bank branches and Automated Teller Machine (ATM) network [8]. Cash supply chain is a valuable product flowing supply chain with specific features. The Central bank Statistics of Sri Lanka (2017), indicates exponential growth in ATM transaction value from 2013 to 2017 and 8.58% increment of ATM terminals in 2017 compared to 2016. In Sri Lanka, few types of research have been carried out in the banking sector. Through those researches, ATM cash logistics operations are not examined well. In the present study, the ATM is considered as a goods storage warehouse. To fulfill this gap and answer the main question of what is the most suitable forecasting technique to predict ATM cash demand in Sri Lanka, this research has been conducted. The process began with a thorough literature survey and direct interviews with bank managers to collect data related to the determinants that are affecting the cash withdrawal fluctuations in Sri Lanka. With the shortlisted factors, based on the survey conducted among ATM operating staff, the customer survey questionnaire is designed. Location of the ATM, income status of the user, day of the week, salary day, being a rainy day and being a holiday are the examined determinants of the customer survey. The entire research is conducted on customer perspective. Out of Regression and time series analysis techniques, time series analysis technique is recognized as the best method to develop a forecasting model for a selected ATM.
{"title":"Determinants of Automated Teller Machine Loading Demand Requirements in Sri Lankan Cash Supply Chains","authors":"K. Perera, Uthpalee Hewage","doi":"10.1109/POMS.2018.8629478","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629478","url":null,"abstract":"Physical cash is a regular exchange medium and the most liquid asset, which is accepted all around the globe. It is vital to study on cash logistics in developing countries with the continuous expansion of commercial bank branches and Automated Teller Machine (ATM) network [8]. Cash supply chain is a valuable product flowing supply chain with specific features. The Central bank Statistics of Sri Lanka (2017), indicates exponential growth in ATM transaction value from 2013 to 2017 and 8.58% increment of ATM terminals in 2017 compared to 2016. In Sri Lanka, few types of research have been carried out in the banking sector. Through those researches, ATM cash logistics operations are not examined well. In the present study, the ATM is considered as a goods storage warehouse. To fulfill this gap and answer the main question of what is the most suitable forecasting technique to predict ATM cash demand in Sri Lanka, this research has been conducted. The process began with a thorough literature survey and direct interviews with bank managers to collect data related to the determinants that are affecting the cash withdrawal fluctuations in Sri Lanka. With the shortlisted factors, based on the survey conducted among ATM operating staff, the customer survey questionnaire is designed. Location of the ATM, income status of the user, day of the week, salary day, being a rainy day and being a holiday are the examined determinants of the customer survey. The entire research is conducted on customer perspective. Out of Regression and time series analysis techniques, time series analysis technique is recognized as the best method to develop a forecasting model for a selected ATM.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"2016 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":"128036152","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.2018.8629391
{"title":"POMS 2018 Author Index","authors":"","doi":"10.1109/poms.2018.8629391","DOIUrl":"https://doi.org/10.1109/poms.2018.8629391","url":null,"abstract":"","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"161 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":"123362495","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.2018.8629485
H. D. De Silva, P. Jayarathne
The aim of this paper is to explain the impact of implementing supplier development practices by retailers on suppliers' performance in the Sri Lankan context. A structured questionnaire is used as the data collection instrument from a sample of 100 clothing manufacturers in Sri Lanka. Structural Equation Model (SEM) is employed as the main analysis approach using SMARTPLS. The model developed demonstrates a significant relationship between supplier development practices and suppliers' performance. The key findings were compared with prevailing literature which is based on both developed and developing economies; consequently managerial implications were drawn in terms of what type of supplier development practices can be initiated by retailers in future to take out better performance from the suppliers in the clothing industry.
{"title":"Strengthening the Sri Lankan Clothing Supply Chain","authors":"H. D. De Silva, P. Jayarathne","doi":"10.1109/POMS.2018.8629485","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629485","url":null,"abstract":"The aim of this paper is to explain the impact of implementing supplier development practices by retailers on suppliers' performance in the Sri Lankan context. A structured questionnaire is used as the data collection instrument from a sample of 100 clothing manufacturers in Sri Lanka. Structural Equation Model (SEM) is employed as the main analysis approach using SMARTPLS. The model developed demonstrates a significant relationship between supplier development practices and suppliers' performance. The key findings were compared with prevailing literature which is based on both developed and developing economies; consequently managerial implications were drawn in terms of what type of supplier development practices can be initiated by retailers in future to take out better performance from the suppliers in the clothing industry.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"5 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":"134009831","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.2018.8629396
T. M. T. C. Rodrigo, U. Galappaththi, K. P. K. S. Shanka, W. Gunarathna, J. de Silva, K. G. L. Samarawansa
The development of small & medium enterprises (SMEs) is a vital factor for Sri Lanka as SMEs currently contribute to 52 % of the GDP. The growth of SMEs in Sri Lanka is mainly affected by the technology related problems such as, lack of customized machinery providers, limited resource availability for technological consultancy, lack of technical skill development programs and access to information. This research aims to investigate the opportunity of promoting the University-Industry collaboration as an influential tool to address the technological problems of SMEs by means of utilizing the research and innovative capabilities of universities. The data for the study were collected through review of previous literature, questionnaires, semi-structured interviews with SMEs & Industrial Development Board. Qualitative and quantitative analysis of this data aided authors to recognize the technological needs of SMEs that can be fulfilled through the university participation. Furthermore, this relationship will benefit both the parties to have a mutual gain where the knowledge and skills of universities are practically used in industrial applications and SMEs will receive technological support. Also, it was identified that, the application of entrepreneurial university concept can further strengthen this relationship in future, where an entrepreneur can be erected from a university background who can act as the technology transfer intermediator between SMEs and universities.
{"title":"Technology Transfer Solutions for SMEs in Sri Lanka through University-Industry Collaboration","authors":"T. M. T. C. Rodrigo, U. Galappaththi, K. P. K. S. Shanka, W. Gunarathna, J. de Silva, K. G. L. Samarawansa","doi":"10.1109/POMS.2018.8629396","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629396","url":null,"abstract":"The development of small & medium enterprises (SMEs) is a vital factor for Sri Lanka as SMEs currently contribute to 52 % of the GDP. The growth of SMEs in Sri Lanka is mainly affected by the technology related problems such as, lack of customized machinery providers, limited resource availability for technological consultancy, lack of technical skill development programs and access to information. This research aims to investigate the opportunity of promoting the University-Industry collaboration as an influential tool to address the technological problems of SMEs by means of utilizing the research and innovative capabilities of universities. The data for the study were collected through review of previous literature, questionnaires, semi-structured interviews with SMEs & Industrial Development Board. Qualitative and quantitative analysis of this data aided authors to recognize the technological needs of SMEs that can be fulfilled through the university participation. Furthermore, this relationship will benefit both the parties to have a mutual gain where the knowledge and skills of universities are practically used in industrial applications and SMEs will receive technological support. Also, it was identified that, the application of entrepreneurial university concept can further strengthen this relationship in future, where an entrepreneur can be erected from a university background who can act as the technology transfer intermediator between SMEs and universities.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"43 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":"134278192","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.2018.8629442
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.2018.8629440
Uthpalee Hewage
Supply chain management strategies focused on enhancing information sharing in supply chains are capable of making a huge impact on the overall supply chain with the advanced development of information and communication technology. Hence, Sri Lankan export-led manufacturing industry can be benefited from these strategies to take the advantage of the rapidly growing phase of the market. In doing so, it is vital to understand the requirements that maintain effective information sharing flow within this industry. Therefore, the purpose of this study is to analyze the management perspective of the industry in deriving the factors which affect the effective information sharing in Sri Lankan export-led manufacturing supply chains. This study further shows that proper functioning of information sharing creates a significant impact on the Sri Lankan export-led manufacturing supply chains. Exploratory factor analysis was used to identify six major factors which influence the effective information sharing in the supply chain: (1) barriers to effective information sharing flow, (2) quality of the information sharing platform, (3) security level of the information sharing flow, (4) resource availability for the information sharing operations, (5) top management’s concern, and (6) level of alignment of the information sharing platform with external members of the supply chain. Since a similar study has not been carried out in this area with respect to Sri Lankan context, the key findings of this study can act as guidelines for the Sri Lankan export-led manufacturing industry to select the most suitable strategies in order to enhance the supply chain information flow.
{"title":"Factors Influencing the Effective Information Sharing in Sri Lankan Export-Led Manufacturing Supply Chains","authors":"Uthpalee Hewage","doi":"10.1109/POMS.2018.8629440","DOIUrl":"https://doi.org/10.1109/POMS.2018.8629440","url":null,"abstract":"Supply chain management strategies focused on enhancing information sharing in supply chains are capable of making a huge impact on the overall supply chain with the advanced development of information and communication technology. Hence, Sri Lankan export-led manufacturing industry can be benefited from these strategies to take the advantage of the rapidly growing phase of the market. In doing so, it is vital to understand the requirements that maintain effective information sharing flow within this industry. Therefore, the purpose of this study is to analyze the management perspective of the industry in deriving the factors which affect the effective information sharing in Sri Lankan export-led manufacturing supply chains. This study further shows that proper functioning of information sharing creates a significant impact on the Sri Lankan export-led manufacturing supply chains. Exploratory factor analysis was used to identify six major factors which influence the effective information sharing in the supply chain: (1) barriers to effective information sharing flow, (2) quality of the information sharing platform, (3) security level of the information sharing flow, (4) resource availability for the information sharing operations, (5) top management’s concern, and (6) level of alignment of the information sharing platform with external members of the supply chain. Since a similar study has not been carried out in this area with respect to Sri Lankan context, the key findings of this study can act as guidelines for the Sri Lankan export-led manufacturing industry to select the most suitable strategies in order to enhance the supply chain information flow.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"6 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":"122470746","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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