Oil, being a major commercial energy source in the world, its fluctuation is often interrelated with the global economy. Generally, people would perceived that earning power of transportation sectors which include airline companies, courier companies and shipping companies are heavily relied on oil price fluctuation. Apparently, oil seems to be the major operating expense for those companies. As oil price goes down, it is naturally assumed that transportation industry is doing well as their operating expense is low and vice versa. This study has focused on the issue of whether the profitability of courier companies are wholly dependent on oil price. Comparison was done between four courier companies, namely Pos Malaysia, TNT Express, United Parcel Service and Deutsche Post. The data analyzed were the oil price and the net profit of each courier company from year 2006 to 2014. Simple linear regression and t-test analysis was done. The results showed that only linear relationship between oil price and net profit was exhibited by TNT Express. This means that the net profit of other three companies including Pos Malaysia, United Parcel Service and Deutsche Post are not mainly affected by oil price.
{"title":"A Study of Oil Price and Other Contributing Factors to the Profitability of Courier Companies","authors":"Tan Yin, Law Xuen Ee, Ganeshsree Selvachandran","doi":"10.1145/3335550.3339903","DOIUrl":"https://doi.org/10.1145/3335550.3339903","url":null,"abstract":"Oil, being a major commercial energy source in the world, its fluctuation is often interrelated with the global economy. Generally, people would perceived that earning power of transportation sectors which include airline companies, courier companies and shipping companies are heavily relied on oil price fluctuation. Apparently, oil seems to be the major operating expense for those companies. As oil price goes down, it is naturally assumed that transportation industry is doing well as their operating expense is low and vice versa. This study has focused on the issue of whether the profitability of courier companies are wholly dependent on oil price. Comparison was done between four courier companies, namely Pos Malaysia, TNT Express, United Parcel Service and Deutsche Post. The data analyzed were the oil price and the net profit of each courier company from year 2006 to 2014. Simple linear regression and t-test analysis was done. The results showed that only linear relationship between oil price and net profit was exhibited by TNT Express. This means that the net profit of other three companies including Pos Malaysia, United Parcel Service and Deutsche Post are not mainly affected by oil price.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"8 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":"131131055","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}
From the view of the micro-interaction between customers, this paper aims to investigate the evolution process and mechanism for Word-of-Mouth (WOM) communication. First, consulting the SIS model, this work depicts the process of WOM communication employing the thought of epidemic spread. Then, this paper improves the traditional cellular automata model to better reflect the WOM communication in reality. On its basis, the WOM communication evolution model is proposed. Through simulation of the proposed model, this paper studies the evolution process of WOM communication, and the influence of the WOM introduction strategy and the accessibility of WOM between communities on WOM communication performance. The results give us a comprehensive understanding of the evolution process and mechanism of WOM communication, and reveal valuable management enlightenments about how to improve the WOM communication performance, which are helpful to the managers and decision makers to effectively carry out WOM management.
{"title":"Evolution Model for Word-of-Mouth Communication Based on Improved Cellular Automata","authors":"Jiafu Su, Xin Yu, Sensen Hu","doi":"10.1145/3335550.3335560","DOIUrl":"https://doi.org/10.1145/3335550.3335560","url":null,"abstract":"From the view of the micro-interaction between customers, this paper aims to investigate the evolution process and mechanism for Word-of-Mouth (WOM) communication. First, consulting the SIS model, this work depicts the process of WOM communication employing the thought of epidemic spread. Then, this paper improves the traditional cellular automata model to better reflect the WOM communication in reality. On its basis, the WOM communication evolution model is proposed. Through simulation of the proposed model, this paper studies the evolution process of WOM communication, and the influence of the WOM introduction strategy and the accessibility of WOM between communities on WOM communication performance. The results give us a comprehensive understanding of the evolution process and mechanism of WOM communication, and reveal valuable management enlightenments about how to improve the WOM communication performance, which are helpful to the managers and decision makers to effectively carry out WOM management.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"20 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":"125891788","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}
In this research, a parallel identical machine scheduling problem with sequence-dependent setup time is applied in a glass container manufacturing plant. The production scheduling program is developed to provide the optimal production schedule for 82 products with 9 identical individual section machines in a forming process with a minimum makespan objective. The machine setup time depends on the sequence of products produced. By using Visual Basic for Applications in Excel, a mathematical model is developed from input data and imported data from a database. The problem is solved by branch and cut algorithm using OpenSolver and Premium Solver. The answers from the program are translated and illustrated in terms of tables and Gantt charts that report the production sequence and total makespan. The results show that OpenSolver has the capability to solve the problem of 20 products and 4 machines, which is the maximum problem size of the case study company when using a present production plan within 3.65 hours. A new production plan or schedule for 82 products with 9 machines using Premium Solver is also proposed. The new production schedules give 4.79% lower makespan within 74.25 minutes.
本文研究了玻璃容器制造工厂中具有序列相关设置时间的并行同机调度问题。以最小完工时间为目标，为82种产品和9台相同的独立型材机在一次成形过程中提供最优生产计划。机器设置时间取决于产品的生产顺序。在Excel中使用Visual Basic for Applications，根据输入数据和从数据库中导入的数据建立数学模型。采用OpenSolver和Premium Solver进行分支割算法求解。从程序的答案被翻译和说明的表格和甘特图，报告生产顺序和总完工时间。结果表明，OpenSolver有能力在3.65小时内解决20种产品和4台机器的问题，这是案例研究公司在使用现有生产计划时的最大问题规模。利用Premium Solver对9台机器的82种产品提出了新的生产计划或进度表。新的生产计划使完工时间在74.25分钟内降低了4.79%。
{"title":"An Application of Production Scheduling Problems with Sequence-Dependent Setup Time in a Glass Bottle Forming Process","authors":"Chansiri Singhtaun, Thanaphat Nutchaphan","doi":"10.1145/3335550.3335587","DOIUrl":"https://doi.org/10.1145/3335550.3335587","url":null,"abstract":"In this research, a parallel identical machine scheduling problem with sequence-dependent setup time is applied in a glass container manufacturing plant. The production scheduling program is developed to provide the optimal production schedule for 82 products with 9 identical individual section machines in a forming process with a minimum makespan objective. The machine setup time depends on the sequence of products produced. By using Visual Basic for Applications in Excel, a mathematical model is developed from input data and imported data from a database. The problem is solved by branch and cut algorithm using OpenSolver and Premium Solver. The answers from the program are translated and illustrated in terms of tables and Gantt charts that report the production sequence and total makespan. The results show that OpenSolver has the capability to solve the problem of 20 products and 4 machines, which is the maximum problem size of the case study company when using a present production plan within 3.65 hours. A new production plan or schedule for 82 products with 9 machines using Premium Solver is also proposed. The new production schedules give 4.79% lower makespan within 74.25 minutes.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"25 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":"125738902","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}
Selective maintenance problem arises in many large multi-state systems which are required to perform multiple missions in succession. Maintenance work can only be carried out in finite maintenance breaks between any two consecutive missions. Only a selected set of multi-state components can be taken maintenance action under limited resources such as time and cost. Traditional selective maintenance strategies do not consider Functionally Significant Items (FSI) and determine which components need to be maintained only by using maintenance resources and performance state. However, in an actual industrial environment, such as safety will also affect maintenance decisions. Therefore, it is necessary to fully consider various factors to determine FSI. In such a case, Analytic Hierarchy Process (AHP) is used to determine FSI in this paper, and then the multi-state system selective maintenance model considering FSI is established with the goal of maximizing the reliability to perform next mission. An improved genetic algorithm (GA) is employed to solve the optimization problem instead of enumeration. Finally, an example is presented to illustrate the necessity of considering FSI.
{"title":"Selective Maintenance Modeling for a Multi-state System Considering Functionally Significant Items","authors":"Zhonghao Zhao, B. Xiao, X. Yan","doi":"10.1145/3335550.3335552","DOIUrl":"https://doi.org/10.1145/3335550.3335552","url":null,"abstract":"Selective maintenance problem arises in many large multi-state systems which are required to perform multiple missions in succession. Maintenance work can only be carried out in finite maintenance breaks between any two consecutive missions. Only a selected set of multi-state components can be taken maintenance action under limited resources such as time and cost. Traditional selective maintenance strategies do not consider Functionally Significant Items (FSI) and determine which components need to be maintained only by using maintenance resources and performance state. However, in an actual industrial environment, such as safety will also affect maintenance decisions. Therefore, it is necessary to fully consider various factors to determine FSI. In such a case, Analytic Hierarchy Process (AHP) is used to determine FSI in this paper, and then the multi-state system selective maintenance model considering FSI is established with the goal of maximizing the reliability to perform next mission. An improved genetic algorithm (GA) is employed to solve the optimization problem instead of enumeration. Finally, an example is presented to illustrate the necessity of considering FSI.","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":"128721222","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, Kareen C. Pernia
This paper aims to redesign the existing hospital bed in the Philippines by developing a wheelchair bed for bed transfer of patients with Cerebro Vascular Disease. According to National Statistics Office (NSO), Cerebro Vascular Disease, popularly known as "stroke" ranked fourth in the top ten causes of death in the Philippines (PSA, 2016). Because of this, the researchers come up with the study of developing an assistive device for both patients and nurses who handle and facilitate this type of patients. The study focuses only on post- stroke patients who are in recovery and rehabilitation stage which are called "post-stroke patients". The disability of post-stroke patients causes them to be dependent on their nurses or caregivers. According to studies, nurses and caregivers are exposed to risk of musculoskeletal disorders due to manual lifting and handling of patients especially during bed transfer. Data shows that 78% of nurses and caregivers experience pain and discomfort in their back and upper extremities due to manual lifting and poor working posture when handling patients. For these reason, it became the interest of the researchers to redesign a wheelchair bed for bed transfer of post stroke patients in order to reduce the risk of nurses and caregivers to develop musculoskeletal disorders. Principles of ergonomics are used to come up with the dimensions of the proposed product 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. Using all these tools, the researchers came up with the proposed product design of the wheelchair bed. The proposed design includes elevating bed frame into the medically required angles of elevation while the patient is at bed in three different positions. It has also a collapsible and extending bed rail, foot board with foot plate that serves as the foot rest of the patient with slimmer and more comfortable mattress material. In the ergonomic design of wheelchair bed, factors such as safety, convenience and comfortability of users were considered. 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 wheelchair beds.
{"title":"An Ergonomic Design of Wheelchair Bed Transfer for Post Stroke Patients","authors":"M. J. Gumasing, Almarose C. Villapando, Kareen C. Pernia","doi":"10.1145/3335550.3339900","DOIUrl":"https://doi.org/10.1145/3335550.3339900","url":null,"abstract":"This paper aims to redesign the existing hospital bed in the Philippines by developing a wheelchair bed for bed transfer of patients with Cerebro Vascular Disease. According to National Statistics Office (NSO), Cerebro Vascular Disease, popularly known as \"stroke\" ranked fourth in the top ten causes of death in the Philippines (PSA, 2016). Because of this, the researchers come up with the study of developing an assistive device for both patients and nurses who handle and facilitate this type of patients. The study focuses only on post- stroke patients who are in recovery and rehabilitation stage which are called \"post-stroke patients\". The disability of post-stroke patients causes them to be dependent on their nurses or caregivers. According to studies, nurses and caregivers are exposed to risk of musculoskeletal disorders due to manual lifting and handling of patients especially during bed transfer. Data shows that 78% of nurses and caregivers experience pain and discomfort in their back and upper extremities due to manual lifting and poor working posture when handling patients. For these reason, it became the interest of the researchers to redesign a wheelchair bed for bed transfer of post stroke patients in order to reduce the risk of nurses and caregivers to develop musculoskeletal disorders. Principles of ergonomics are used to come up with the dimensions of the proposed product 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. Using all these tools, the researchers came up with the proposed product design of the wheelchair bed. The proposed design includes elevating bed frame into the medically required angles of elevation while the patient is at bed in three different positions. It has also a collapsible and extending bed rail, foot board with foot plate that serves as the foot rest of the patient with slimmer and more comfortable mattress material. In the ergonomic design of wheelchair bed, factors such as safety, convenience and comfortability of users were considered. 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 wheelchair beds.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"49 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":"122115511","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}
Sales and operations planning (S&OP) is a midterm planning practice that is widely used in industries with relatively volatile demand and limited capacities to align demand and supply. Several research studies, as well as practical guides, have been developed to examine the design and implementation of S&OP processes. Most of these studies are general and have no reference to the industry behind them. However, regarding planning, each industry has its properties. Taking a "one size fits all" approach is not profitable for extreme cases, such as for an automotive industry known for the very large product portfolios. Our contribution intends to examine this issue in detail by performing a literature review on the effectiveness of S&OP and its impacts on supply chain performance. We try to reveal why actual S&OP practices are not fit for highly diversified mass production systems, and we deduce that there is a need to redefine the S&OP process for such industries.
{"title":"Sales and Operations Planning (S&OP) Performance Under Highly Diversified Mass Production Systems","authors":"Yahya Ghrab, M. Sali","doi":"10.1145/3335550.3335580","DOIUrl":"https://doi.org/10.1145/3335550.3335580","url":null,"abstract":"Sales and operations planning (S&OP) is a midterm planning practice that is widely used in industries with relatively volatile demand and limited capacities to align demand and supply. Several research studies, as well as practical guides, have been developed to examine the design and implementation of S&OP processes. Most of these studies are general and have no reference to the industry behind them. However, regarding planning, each industry has its properties. Taking a \"one size fits all\" approach is not profitable for extreme cases, such as for an automotive industry known for the very large product portfolios. Our contribution intends to examine this issue in detail by performing a literature review on the effectiveness of S&OP and its impacts on supply chain performance. We try to reveal why actual S&OP practices are not fit for highly diversified mass production systems, and we deduce that there is a need to redefine the S&OP process for such industries.","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":"130702586","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}
Although the Down Jacket market in China only has a history of 20 years, the scale of the industry is expanding rapidly. With the expansion of the Down Jacket market demand and the popularity of down products, the competitive pressure in the Down Jacket market in China is also increasingly intensified. Major brands begin to adjust their market behaviors and strive to build pioneer brands. This paper mainly USES the theoretical framework of SCP paradigm to analyze the market structure, market behavior and market performance of China's Down Jacket industry. After judging the market structure of China's Down Jacket industry, this paper further explores the market behavior and performance taken by China's Down Jacket industry under the current market structure, and summarizes the whole paper at the end of the article.
{"title":"Analysis on China's Down Jacket Market Based on the SCP Paradigm","authors":"Xue-jie Chen, G. Fang","doi":"10.1145/3335550.3335556","DOIUrl":"https://doi.org/10.1145/3335550.3335556","url":null,"abstract":"Although the Down Jacket market in China only has a history of 20 years, the scale of the industry is expanding rapidly. With the expansion of the Down Jacket market demand and the popularity of down products, the competitive pressure in the Down Jacket market in China is also increasingly intensified. Major brands begin to adjust their market behaviors and strive to build pioneer brands. This paper mainly USES the theoretical framework of SCP paradigm to analyze the market structure, market behavior and market performance of China's Down Jacket industry. After judging the market structure of China's Down Jacket industry, this paper further explores the market behavior and performance taken by China's Down Jacket industry under the current market structure, and summarizes the whole paper at the end of the article.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"3 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":"133877891","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}
Non-performing loan (NPL) is the main threat for all financial institutions. In order to improve loan approval process and reduce the risk of NPL, this research proposes an application of six sigma and credit scoring model. Six Sigma is an outstanding tool for process improvement by reducing defects in the process in manufacturing and service industries. Credit scoring model is a statistical model that aid in the decision making for the bank and other financial institution whether they should approve or reject the loan application. Six Sigma offers value by reducing defects and Credit scoring model can enhance credit lending policy. The implementation of Six sigma and Credit scoring model in bank loan approval process is a new topic and few literatures have studied in this area. The objectives of this research are to identify factors causing NPL and propose framework using Six Sigma and Credit scoring model to improve bank loan process and enhance the credit lending policy to reduce the risk of NPL. Case study of a bank in Cambodia is illustrated.
{"title":"The Blend of Credit Scoring Model for Individual in the Dmaic Process for Reducing Non-Performing Loan Risk","authors":"Vongseriprathna Thavarith, Jirapan Liangrokapart","doi":"10.1145/3335550.3335583","DOIUrl":"https://doi.org/10.1145/3335550.3335583","url":null,"abstract":"Non-performing loan (NPL) is the main threat for all financial institutions. In order to improve loan approval process and reduce the risk of NPL, this research proposes an application of six sigma and credit scoring model. Six Sigma is an outstanding tool for process improvement by reducing defects in the process in manufacturing and service industries. Credit scoring model is a statistical model that aid in the decision making for the bank and other financial institution whether they should approve or reject the loan application. Six Sigma offers value by reducing defects and Credit scoring model can enhance credit lending policy. The implementation of Six sigma and Credit scoring model in bank loan approval process is a new topic and few literatures have studied in this area. The objectives of this research are to identify factors causing NPL and propose framework using Six Sigma and Credit scoring model to improve bank loan process and enhance the credit lending policy to reduce the risk of NPL. Case study of a bank in Cambodia is illustrated.","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":"123675953","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 egg sizes separation factory was a single story building with limited space which leads to inadequate production area due to 24 hours of continuous production. Therefore, the factory was facing the problem of overloading production capacity with inadequate storage. A countermeasure for this issue is urgently needed. The company was intended to build a new production factory for expanding the production capacity in order to meet the customer needs which have been increasing. The data was collected in order to clarify the production, process flow and cycle time. The analysis was constructing based on the Systematic Layout Planning (SLP) principle (the process relationships analysis). The results of the analysis indicate that the factory can be enhanced in 3 models, the first model with a total distance of 91.82 meters followed by 86.05 and 61.36 meters respectively. The best model is the third one with the shortest total distance of 61.36. Results of the analysis indicate that the first model has a total area of 1,097.4 square meters, followed by 1,353.1 and 1,451.4 square meters respectively. This can be concluded that the best model was the third one with the highest total area of 1,451.4 square meters, based on the comparison of the current factory layout and the new factory layout, the result is that the total distance in the new plant layout is less than the total distance in the plant layout by 33.98 meters, or 22%. Due to the reduction in transportation distance, the filtered egg size can be increased to increase the efficiency of the process.
{"title":"Plant Layout Design for Improvement and Eggs Grading Process","authors":"Y. Banjarat, W. Anucha, W. Wiyaratn","doi":"10.1145/3335550.3335572","DOIUrl":"https://doi.org/10.1145/3335550.3335572","url":null,"abstract":"The egg sizes separation factory was a single story building with limited space which leads to inadequate production area due to 24 hours of continuous production. Therefore, the factory was facing the problem of overloading production capacity with inadequate storage. A countermeasure for this issue is urgently needed. The company was intended to build a new production factory for expanding the production capacity in order to meet the customer needs which have been increasing. The data was collected in order to clarify the production, process flow and cycle time. The analysis was constructing based on the Systematic Layout Planning (SLP) principle (the process relationships analysis). The results of the analysis indicate that the factory can be enhanced in 3 models, the first model with a total distance of 91.82 meters followed by 86.05 and 61.36 meters respectively. The best model is the third one with the shortest total distance of 61.36. Results of the analysis indicate that the first model has a total area of 1,097.4 square meters, followed by 1,353.1 and 1,451.4 square meters respectively. This can be concluded that the best model was the third one with the highest total area of 1,451.4 square meters, based on the comparison of the current factory layout and the new factory layout, the result is that the total distance in the new plant layout is less than the total distance in the plant layout by 33.98 meters, or 22%. Due to the reduction in transportation distance, the filtered egg size can be increased to increase the efficiency of the process.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"11 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":"125233132","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}
One of the foundational models for the study of inventory management is the newsvendor problem. Since the newsvendor problem involving perishable goods, one application that might be very concerning nowadays is food inventory management. Particularly, the food and culinary industries face the problem associated with the setting: supply--demand mismatch which causes business performance reduction due to profit loss. Thus, the developing of mathematical models in the newsvendor problem could be the solution to the problem since it can provide a good insight to determine optimal order quantities. However, inventory managers' order decision might deviate from the assumption in newsvendor setting which claims that individuals would make a rational decision that can maximize their utility and profit as well. Schweitzer & Cachon [1] is one of the earliest works that provides evidence of this deviation and concludes that there is a mismatch between newsvendor theory and experimental observations which causes non-optimal decisions due to the decision biases that occur in the newsvendor context. Thereafter, a growing number of studies in newsvendor problem have started to move toward experimental studies. However, most of the existing studies only involve students as the subject, leaving an important question of how the result of such studies can be implemented in the real world where the manager really works. In this study, we conduct an experiment to investigate the inventory managers' order decision in newsvendor settings in small fast-food restaurants in Yogyakarta, Indonesia. Afterward, we conduct the same experiment with students to provide a structured comparison between manager and student on decision making in the newsvendor problem. After obtaining the order decision pattern, which is not optimal due to anchoring and insufficient adjustment bias that occur, this study will also come up with a debiasing strategy in the form of Decision Support System (DSS). The DSS we propose aims to provide an alternative order for the inventory manager so that the overall inventory performance can be improved. To prove the effectiveness of the DSS we propose, we will also conduct an experimental work to compare the result of the order decisions with and without DSS provided.
报贩问题是库存管理研究的基础模型之一。由于报贩的问题涉及到易腐货物，现在一个可能非常关注的应用是食品库存管理。特别是，食品和烹饪行业面临的问题与设置相关:供需不匹配，导致业务绩效下降，由于利润损失。因此，在报贩问题中发展数学模型可以解决这个问题，因为它可以提供一个很好的洞察力来确定最优订购数量。然而，库存管理人员的订单决策可能会偏离报贩设置的假设，即个人会做出理性的决策，从而使其效用和利润最大化。Schweitzer和Cachon[1]是最早为这种偏差提供证据的作品之一，并得出结论，报贩理论和实验观察之间存在不匹配，由于报贩环境中发生的决策偏差，导致非最优决策。此后，越来越多的报贩问题研究开始向实验研究方向发展。然而，大多数现有的研究只涉及学生作为主体，留下了一个重要的问题，即这些研究的结果如何在管理者真正工作的现实世界中实施。在本研究中，我们进行了一项实验，以调查在日惹，印度尼西亚的小快餐店的报贩设置库存经理的订单决策。之后，我们对学生进行了同样的实验，以提供一个结构化的比较，经理和学生在报贩问题上的决策。在得到由于锚定和调整偏差不足导致的非最优订单决策模式后，本研究还将提出一种以决策支持系统(decision Support System, DSS)形式的去偏策略。我们提出的决策支持系统旨在为库存管理人员提供另一种订单，从而提高整体库存绩效。为了证明我们提出的决策支持系统的有效性，我们还将进行实验工作，比较有和没有提供决策支持系统的订单决策结果。
{"title":"Debiasing Strategy System to Improve Inventory Decision in the Newsvendor Problem (an Experimental Study)","authors":"Elok Pitaloka, N. Masruroh, Shi-Woei Lin","doi":"10.1145/3335550.3335564","DOIUrl":"https://doi.org/10.1145/3335550.3335564","url":null,"abstract":"One of the foundational models for the study of inventory management is the newsvendor problem. Since the newsvendor problem involving perishable goods, one application that might be very concerning nowadays is food inventory management. Particularly, the food and culinary industries face the problem associated with the setting: supply--demand mismatch which causes business performance reduction due to profit loss. Thus, the developing of mathematical models in the newsvendor problem could be the solution to the problem since it can provide a good insight to determine optimal order quantities.\u0000 However, inventory managers' order decision might deviate from the assumption in newsvendor setting which claims that individuals would make a rational decision that can maximize their utility and profit as well. Schweitzer & Cachon [1] is one of the earliest works that provides evidence of this deviation and concludes that there is a mismatch between newsvendor theory and experimental observations which causes non-optimal decisions due to the decision biases that occur in the newsvendor context. Thereafter, a growing number of studies in newsvendor problem have started to move toward experimental studies. However, most of the existing studies only involve students as the subject, leaving an important question of how the result of such studies can be implemented in the real world where the manager really works.\u0000 In this study, we conduct an experiment to investigate the inventory managers' order decision in newsvendor settings in small fast-food restaurants in Yogyakarta, Indonesia. Afterward, we conduct the same experiment with students to provide a structured comparison between manager and student on decision making in the newsvendor problem. After obtaining the order decision pattern, which is not optimal due to anchoring and insufficient adjustment bias that occur, this study will also come up with a debiasing strategy in the form of Decision Support System (DSS). The DSS we propose aims to provide an alternative order for the inventory manager so that the overall inventory performance can be improved. To prove the effectiveness of the DSS we propose, we will also conduct an experimental work to compare the result of the order decisions with and without DSS provided.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"70 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":"123212422","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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