For complex system, often a variety of equipment with different priorities require a spare. Spares supply management constitutes a fundamental decision-making problem, especially in systems which require high support levels. Considering the priority demand classes in actual spares supply, a two-echelon and multi-location continuous review inventory model with waiting time constraints is formed. To better match supply and demand, lateral transshipments and emergency shipments occur in response to stockouts. The model is to find an optimal inventory for each stock point under target service level, against a backdrop of cost minimization objective. A genetic algorithm is applied to get the results and a numerical example is presented to demonstrate the validity of the model. Finally,the proposed model manages to incentive a dexterous spares supply based on service differentiation and successfully provide a theoretical basis for decision makers to plan and control inventory.
{"title":"Study on Optimization of a Multi-Location Inventory Model with Lateral Transshipment Considering Priority Demand","authors":"Xiaoyuan Yan, Zhonghao Zhao, B. Xiao","doi":"10.1145/3335550.3335551","DOIUrl":"https://doi.org/10.1145/3335550.3335551","url":null,"abstract":"For complex system, often a variety of equipment with different priorities require a spare. Spares supply management constitutes a fundamental decision-making problem, especially in systems which require high support levels. Considering the priority demand classes in actual spares supply, a two-echelon and multi-location continuous review inventory model with waiting time constraints is formed. To better match supply and demand, lateral transshipments and emergency shipments occur in response to stockouts. The model is to find an optimal inventory for each stock point under target service level, against a backdrop of cost minimization objective. A genetic algorithm is applied to get the results and a numerical example is presented to demonstrate the validity of the model. Finally,the proposed model manages to incentive a dexterous spares supply based on service differentiation and successfully provide a theoretical basis for decision makers to plan and control inventory.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128208090","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}
The success of any organization, either commercial or government, depends heavily on the execution of effective workforce planning. An effective workforce plan should achieve simultaneously both organizational and employee objectives by recruiting, promoting and deploying the right employees in the right places at the right times. In this study, we particularly focus on a military workforce planning problem, which brings additional challenges due to its closed (i.e., experienced workforce is generated within the system rather than recruited from outside) and strictly hierarchical (i.e., career advancements happen step-by-step, along the pyramidal rank chain) structure. To support workforce planning, we develop a decision-support system based on a system dynamics (SD) simulation model with the specific objective of evaluating different workforce planning strategies. As opposed to the existing military workforce models which assume steady state conditions, the proposed approach also considers the interactions among the demand-side (e.g., operational requirements and schedules) of the system and the supply-side (e.g., recruitment and promotion strategies). We demonstrate the approach through a case study to gain insight into how the different parameters affect the overall system with regards to output metrics such as the operational readiness of a fleet.
{"title":"Simulation-based Analysis of Military Workforce Planning Strategies","authors":"H. Turan, S. Elsawah, M. Ryan","doi":"10.1145/3335550.3335568","DOIUrl":"https://doi.org/10.1145/3335550.3335568","url":null,"abstract":"The success of any organization, either commercial or government, depends heavily on the execution of effective workforce planning. An effective workforce plan should achieve simultaneously both organizational and employee objectives by recruiting, promoting and deploying the right employees in the right places at the right times. In this study, we particularly focus on a military workforce planning problem, which brings additional challenges due to its closed (i.e., experienced workforce is generated within the system rather than recruited from outside) and strictly hierarchical (i.e., career advancements happen step-by-step, along the pyramidal rank chain) structure. To support workforce planning, we develop a decision-support system based on a system dynamics (SD) simulation model with the specific objective of evaluating different workforce planning strategies. As opposed to the existing military workforce models which assume steady state conditions, the proposed approach also considers the interactions among the demand-side (e.g., operational requirements and schedules) of the system and the supply-side (e.g., recruitment and promotion strategies). We demonstrate the approach through a case study to gain insight into how the different parameters affect the overall system with regards to output metrics such as the operational readiness of a fleet.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122013789","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}
The goal of supply chain planning is designing an optimal and feasible production and distribution plan for the whole supply chain. Two common methods of optimization are analytical and simulation-based optimization. In this paper, both methods are combined to consolidate the strengths of each, also known as the hybrid analytical and simulation approach. A case study of a multi-period, multi-echelon, and multi-product production and distribution problem that maximizes the whole supply chain's profit is introduced, to demonstrate the effectiveness of the proposed hybrid approach. The analytical model is solved to find the ideal optimal production-distribution plan, and then the plan is inputted into a simulation model, where uncertainties are included. The proposed approach then identifies a feasible plan that meets makespan and service level requirements. Safety stock is incorporated to fulfill the service level requirements and maximize the supply chain's profit. This procedure continues iteratively until the production-distribution plan is feasible and optimized. The results show that the proposed approach can solve for an optimal and feasible solution with relatively fast computational time.
{"title":"Hybrid Optimization Approach for Supply Chain Planning","authors":"Jirasak Ji, N. Chiadamrong","doi":"10.1145/3335550.3335570","DOIUrl":"https://doi.org/10.1145/3335550.3335570","url":null,"abstract":"The goal of supply chain planning is designing an optimal and feasible production and distribution plan for the whole supply chain. Two common methods of optimization are analytical and simulation-based optimization. In this paper, both methods are combined to consolidate the strengths of each, also known as the hybrid analytical and simulation approach. A case study of a multi-period, multi-echelon, and multi-product production and distribution problem that maximizes the whole supply chain's profit is introduced, to demonstrate the effectiveness of the proposed hybrid approach. The analytical model is solved to find the ideal optimal production-distribution plan, and then the plan is inputted into a simulation model, where uncertainties are included. The proposed approach then identifies a feasible plan that meets makespan and service level requirements. Safety stock is incorporated to fulfill the service level requirements and maximize the supply chain's profit. This procedure continues iteratively until the production-distribution plan is feasible and optimized. The results show that the proposed approach can solve for an optimal and feasible solution with relatively fast computational time.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125655219","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}
M. J. Gumasing, Almarose C. Villapando, Catherine D. Siggaoat
This paper aims to design and develop an ergonomic breastfeeding chair that will be more comfortable and suitable for breastfeeding mothers by promoting an improved posture during breastfeeding and would decrease the risk of mothers for musculoskeletal disorders. According to the report from National Health Interview Survey (NHIS, 2010), breastfeeding mothers experience pain in neck, lower back, face and jaw due to prolonged sitting and awkward posture during breastfeeding. Mothers unconsciously slouch into positions that stress their joints, ligaments and muscles. They are also exposed to lifting force due to carrying of infants during breastfeeding. This posture aggravates painful muscle spasms and could lead to injury. Given these conditions, the researchers intend to design a breastfeeding chair for Filipino mothers using ergonomic intervention. Principles of anthropometry are used to come up with the dimensions of the proposed design based on the anthropometric measurements of the target users. Value analysis and Quality Function Deployment (QFD) tool are also used to identify the technicalities of the product based from the users' requirements. The proposed breastfeeding chair consists of a headrest, backrest, armrest with pulling arc handle, seat cushion and a 2-position locking foot stool. This ergonomic breastfeeding chair will not only provide comfort to the mothers but will also provide safe environment to the infants. The researchers have conducted review of related literature, direct observation, surveys, actual measurements and statistical analyses in order to describe factually and accurately the proposed design of breastfeeding chair.
{"title":"An Ergonomic Design of Breastfeeding Chair for Filipino Mothers","authors":"M. J. Gumasing, Almarose C. Villapando, Catherine D. Siggaoat","doi":"10.1145/3335550.3339901","DOIUrl":"https://doi.org/10.1145/3335550.3339901","url":null,"abstract":"This paper aims to design and develop an ergonomic breastfeeding chair that will be more comfortable and suitable for breastfeeding mothers by promoting an improved posture during breastfeeding and would decrease the risk of mothers for musculoskeletal disorders. According to the report from National Health Interview Survey (NHIS, 2010), breastfeeding mothers experience pain in neck, lower back, face and jaw due to prolonged sitting and awkward posture during breastfeeding. Mothers unconsciously slouch into positions that stress their joints, ligaments and muscles. They are also exposed to lifting force due to carrying of infants during breastfeeding. This posture aggravates painful muscle spasms and could lead to injury. Given these conditions, the researchers intend to design a breastfeeding chair for Filipino mothers using ergonomic intervention. Principles of anthropometry are used to come up with the dimensions of the proposed design based on the anthropometric measurements of the target users. Value analysis and Quality Function Deployment (QFD) tool are also used to identify the technicalities of the product based from the users' requirements. The proposed breastfeeding chair consists of a headrest, backrest, armrest with pulling arc handle, seat cushion and a 2-position locking foot stool. This ergonomic breastfeeding chair will not only provide comfort to the mothers but will also provide safe environment to the infants. The researchers have conducted review of related literature, direct observation, surveys, actual measurements and statistical analyses in order to describe factually and accurately the proposed design of breastfeeding chair.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125292245","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}
Apparel manufacturers in Bangladesh are under constant pressure to improve their manufacturing performance in the current impulsive and intensely competitive business environment. The manufacturers are attempting to implement new and advanced manufacturing techniques to make their manufacturing process more productive. However, implementing advanced and innovative manufacturing techniques such as lean manufacturing or Just-in-Time (JIT) production in the developing country like Bangladesh is still challenging due to several critical barriers. The purpose of this paper is to investigate the implementation status of JIT, identify the relationship of JIT practice with the non-financial (operational) and financial (business) performance of the organization. Empirical data have been collected from 227 apparel factories using non-probability convenient sampling method. SPSS 20.0 and AMOS software were used for data analysis. The findings of this study provide evidence that JIT implementation has a significant direct impact on organizational performance.
{"title":"Impact of JIT Production on Organizational Performance in the Apparel Industry in Bangladesh","authors":"A. Bashar, A. A. Hasin","doi":"10.1145/3335550.3335578","DOIUrl":"https://doi.org/10.1145/3335550.3335578","url":null,"abstract":"Apparel manufacturers in Bangladesh are under constant pressure to improve their manufacturing performance in the current impulsive and intensely competitive business environment. The manufacturers are attempting to implement new and advanced manufacturing techniques to make their manufacturing process more productive. However, implementing advanced and innovative manufacturing techniques such as lean manufacturing or Just-in-Time (JIT) production in the developing country like Bangladesh is still challenging due to several critical barriers. The purpose of this paper is to investigate the implementation status of JIT, identify the relationship of JIT practice with the non-financial (operational) and financial (business) performance of the organization. Empirical data have been collected from 227 apparel factories using non-probability convenient sampling method. SPSS 20.0 and AMOS software were used for data analysis. The findings of this study provide evidence that JIT implementation has a significant direct impact on organizational performance.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126621775","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}
The distribution of wind-induced pressure coefficient on the surfaces of the C-shaped building with the varying angles of incidence and with and without round corner has been studied. For this, experiments have been carried out on a typical C-shaped building plan in a sub-sonic open circuit wind tunnel. Two different configurations of C-shaped models i.e., with outer curved and without outer curved C-shaped models were tested. The experimental findings were showed over an extended range of angles of incidence (0° to 180°) at an interval of 30°. Using Digital Sensor Array (DSA), the pressure coefficient data were recorded at the pressure tapping provided in a grid pattern throughout the surfaces. This procedure was repeated with all the surfaces undertaken, angle of incidence and building plan configuration. The surfaces data of pressure coefficient enabled the determination of mean pressure coefficient at the selected tapping locations. The surface pressure was found to vary significantly with the location on a particular surface and surfaces as well as with the angle of incidence. Pressure coefficient was influenced by building configuration, the extent of curved corners, wind angle of incidence, wind flow behavior and surroundings on buildings. It has been observed that the curvature is effective in reducing pressure coefficient corresponding to no curvature. The experimental results thus obtained were supported by Numerical analysis. To achieve this, numerical investigation was carried out by using ANSYS FLUENT software. The analysis was carried out using Computational Fluid Dynamic (CFD) with k-e viscosity model and the results obtained were compared with the corresponding experimental data. Experimental and numerical study is carried out for comparison purposes and results have good agreement.
{"title":"Analysis of Curvature Effect on C-Shaped Buildings","authors":"M. Mallick, Awadhesh Kumar, K. C. Patra","doi":"10.1145/3335550.3339897","DOIUrl":"https://doi.org/10.1145/3335550.3339897","url":null,"abstract":"The distribution of wind-induced pressure coefficient on the surfaces of the C-shaped building with the varying angles of incidence and with and without round corner has been studied. For this, experiments have been carried out on a typical C-shaped building plan in a sub-sonic open circuit wind tunnel. Two different configurations of C-shaped models i.e., with outer curved and without outer curved C-shaped models were tested. The experimental findings were showed over an extended range of angles of incidence (0° to 180°) at an interval of 30°. Using Digital Sensor Array (DSA), the pressure coefficient data were recorded at the pressure tapping provided in a grid pattern throughout the surfaces. This procedure was repeated with all the surfaces undertaken, angle of incidence and building plan configuration. The surfaces data of pressure coefficient enabled the determination of mean pressure coefficient at the selected tapping locations. The surface pressure was found to vary significantly with the location on a particular surface and surfaces as well as with the angle of incidence. Pressure coefficient was influenced by building configuration, the extent of curved corners, wind angle of incidence, wind flow behavior and surroundings on buildings. It has been observed that the curvature is effective in reducing pressure coefficient corresponding to no curvature. The experimental results thus obtained were supported by Numerical analysis. To achieve this, numerical investigation was carried out by using ANSYS FLUENT software. The analysis was carried out using Computational Fluid Dynamic (CFD) with k-e viscosity model and the results obtained were compared with the corresponding experimental data. Experimental and numerical study is carried out for comparison purposes and results have good agreement.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115151821","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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