Pub Date : 2016-01-02DOI: 10.1080/2287108X.2016.1144372
A. Pell, Princess Nyamadzawo, Oliver Schauer
The aim of this paper is to show the advantages of the Intelligent Transport Systems (ITS) when different traffic, road infrastructure and users data are combined and updated in the fields of servicing and maintenance of transport infrastructure, detection and reduction of environmental impacts, risk minimization, increasing traffic safety and efficiency enhancing in road transport. The different information is presented in order to evolve a new, innovative and online-usable ITS service for transport management and also for application in logistics.
{"title":"Intelligent transportation system for traffic and road infrastructure-related data","authors":"A. Pell, Princess Nyamadzawo, Oliver Schauer","doi":"10.1080/2287108X.2016.1144372","DOIUrl":"https://doi.org/10.1080/2287108X.2016.1144372","url":null,"abstract":"The aim of this paper is to show the advantages of the Intelligent Transport Systems (ITS) when different traffic, road infrastructure and users data are combined and updated in the fields of servicing and maintenance of transport infrastructure, detection and reduction of environmental impacts, risk minimization, increasing traffic safety and efficiency enhancing in road transport. The different information is presented in order to evolve a new, innovative and online-usable ITS service for transport management and also for application in logistics.","PeriodicalId":276731,"journal":{"name":"International Journal of Advanced Logistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131106371","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 : 2016-01-02DOI: 10.1080/2287108X.2015.1105008
D. Choi
Supplier selection is a multi-criteria decision-making process. Suppliers should decide which resources to invest in with limited resources. Goal programming can support this decision-making process. Thus, this study used a case study to show this process by applying goal programming.
{"title":"A zero-one goal programming model to use financial resources","authors":"D. Choi","doi":"10.1080/2287108X.2015.1105008","DOIUrl":"https://doi.org/10.1080/2287108X.2015.1105008","url":null,"abstract":"Supplier selection is a multi-criteria decision-making process. Suppliers should decide which resources to invest in with limited resources. Goal programming can support this decision-making process. Thus, this study used a case study to show this process by applying goal programming.","PeriodicalId":276731,"journal":{"name":"International Journal of Advanced Logistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130003110","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 : 2015-09-02DOI: 10.1080/2287108X.2015.1103543
H. Lee, Sumin Kang, J. Chae
The quadratic assignment problem (QAP) is an optimization problem that uses a specific structure in terms of location and layout decisions. It assigns facilities to a location that is already known, and all of the candidate locations are identical in size. The QAP is applied to various fields, including facility layout, electronic components design, and building and road design. Genetic algorithms (GAs) are one method of solving problems in these fields, and they have seen widespread use. GAs generate close-to-optimal solutions in a reasonable amount of time. On the other hand, QAPs provide optimal solutions, but they require significantly more time because of the difficulties involved in solving large-scale problems. Because GAs have proven to be effective, considerable research has been conducted to develop GAs that enable better solutions, particularly in experiments with changing parameters. Two critical operators are used in GAs: crossovers and mutations. Changes in the way each operator is used could result in changes to solution quality. Numerous studies have looked at the contributions of crossover with respect to solution quality, but research on the effects of mutation probabilities is scant. Moreover, even though a number of researchers have applied different approaches to GA operations, they used almost the same level of mutation probabilities. For this paper, we constructed a GA to solve the equal area location problem, which can be solved using the QAP. We estimated its performance and changes at different levels of mutation probabilities. This paper brings six QAP instances from a quadratic assignment problem library and experiments. The result shows that at high mutation probabilities, the GA used in this study can obtain better solutions in all six problems.
{"title":"Mutation effects in a genetic algorithm for a facility layout problem in QAP form","authors":"H. Lee, Sumin Kang, J. Chae","doi":"10.1080/2287108X.2015.1103543","DOIUrl":"https://doi.org/10.1080/2287108X.2015.1103543","url":null,"abstract":"The quadratic assignment problem (QAP) is an optimization problem that uses a specific structure in terms of location and layout decisions. It assigns facilities to a location that is already known, and all of the candidate locations are identical in size. The QAP is applied to various fields, including facility layout, electronic components design, and building and road design. Genetic algorithms (GAs) are one method of solving problems in these fields, and they have seen widespread use. GAs generate close-to-optimal solutions in a reasonable amount of time. On the other hand, QAPs provide optimal solutions, but they require significantly more time because of the difficulties involved in solving large-scale problems. Because GAs have proven to be effective, considerable research has been conducted to develop GAs that enable better solutions, particularly in experiments with changing parameters. Two critical operators are used in GAs: crossovers and mutations. Changes in the way each operator is used could result in changes to solution quality. Numerous studies have looked at the contributions of crossover with respect to solution quality, but research on the effects of mutation probabilities is scant. Moreover, even though a number of researchers have applied different approaches to GA operations, they used almost the same level of mutation probabilities. For this paper, we constructed a GA to solve the equal area location problem, which can be solved using the QAP. We estimated its performance and changes at different levels of mutation probabilities. This paper brings six QAP instances from a quadratic assignment problem library and experiments. The result shows that at high mutation probabilities, the GA used in this study can obtain better solutions in all six problems.","PeriodicalId":276731,"journal":{"name":"International Journal of Advanced Logistics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114064670","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 : 2015-09-02DOI: 10.1080/2287108X.2015.1103536
Pablo García Ansola, Andrés García Higuera, J. de las Morenas
Multi-agent system (MAS) models have the drawback of an excessive dependence on up-to-date field information and on complex interaction protocols. This work proposes a theoretical and experimental agent-based decision support system (DSS) architecture that is designed and developed to align shop floor operations, but including the radio frequency identification (RFID) information feedback. This product-driven MAS has been structured on a split organization model to enforce the idea of division between physical elements and information and communication technology. The proposed MAS framework, called MAS-DUO, has been tested at the ground-handling operations at the Ciudad Real Central Airport and in a simulated logistics centre at the Autolog Labs-UCLM. This paper introduces the beliefs–desires–intentions (BDI) physical agents of this framework as the core of this new approach, a new vision that mixes BDI reasoning, RFID and the Markov decision process.
{"title":"Aligning decision support with shop floor operations: a proposal of intelligent product based on BDI physical agents","authors":"Pablo García Ansola, Andrés García Higuera, J. de las Morenas","doi":"10.1080/2287108X.2015.1103536","DOIUrl":"https://doi.org/10.1080/2287108X.2015.1103536","url":null,"abstract":"Multi-agent system (MAS) models have the drawback of an excessive dependence on up-to-date field information and on complex interaction protocols. This work proposes a theoretical and experimental agent-based decision support system (DSS) architecture that is designed and developed to align shop floor operations, but including the radio frequency identification (RFID) information feedback. This product-driven MAS has been structured on a split organization model to enforce the idea of division between physical elements and information and communication technology. The proposed MAS framework, called MAS-DUO, has been tested at the ground-handling operations at the Ciudad Real Central Airport and in a simulated logistics centre at the Autolog Labs-UCLM. This paper introduces the beliefs–desires–intentions (BDI) physical agents of this framework as the core of this new approach, a new vision that mixes BDI reasoning, RFID and the Markov decision process.","PeriodicalId":276731,"journal":{"name":"International Journal of Advanced Logistics","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116401265","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 : 2015-09-02DOI: 10.1080/2287108x.2015.1126067
Y. Chang, J. J. Chae, D. Choi
{"title":"2015 Editorial Board","authors":"Y. Chang, J. J. Chae, D. Choi","doi":"10.1080/2287108x.2015.1126067","DOIUrl":"https://doi.org/10.1080/2287108x.2015.1126067","url":null,"abstract":"","PeriodicalId":276731,"journal":{"name":"International Journal of Advanced Logistics","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121234100","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 : 2015-09-02DOI: 10.1080/2287108X.2015.1103535
Sanjay Sharma, Aditya Malhotra
With cut-throat competition in the marketplace, companies today have to look towards new ways to reduce their costs to survive. Inventory is one of the biggest areas tying up a firm’s working capital. This article discusses how a firm should look to optimize its existing inventory and how should it go about setting its safety stock levels. Our major emphasis is on the different parameters that are required for safety stock calculations using a probabilistic normal distribution model. For validation, we have taken a case of a major fast-moving consumer goods (FMCG) company and its operations in South East Asia. We have applied the model to calculate safety stock levels of over 100 SKUs at this company and shown how the model helps achieve inventory optimization effectively and efficiently. The resulting cost benefits are also shown.
{"title":"Safety stock calculations and inventory analysis: a practical approach for the FMCG case in a South-East Asian country","authors":"Sanjay Sharma, Aditya Malhotra","doi":"10.1080/2287108X.2015.1103535","DOIUrl":"https://doi.org/10.1080/2287108X.2015.1103535","url":null,"abstract":"With cut-throat competition in the marketplace, companies today have to look towards new ways to reduce their costs to survive. Inventory is one of the biggest areas tying up a firm’s working capital. This article discusses how a firm should look to optimize its existing inventory and how should it go about setting its safety stock levels. Our major emphasis is on the different parameters that are required for safety stock calculations using a probabilistic normal distribution model. For validation, we have taken a case of a major fast-moving consumer goods (FMCG) company and its operations in South East Asia. We have applied the model to calculate safety stock levels of over 100 SKUs at this company and shown how the model helps achieve inventory optimization effectively and efficiently. The resulting cost benefits are also shown.","PeriodicalId":276731,"journal":{"name":"International Journal of Advanced Logistics","volume":"29 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132061126","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 : 2015-09-02DOI: 10.1080/2287108X.2015.1103527
D. W. Son, Y.S. Chang, H.C. Choi, W. R. Kim, A. G. Higuera
In the warehouse, the typical logistics software is the warehouse control system (WCS). WCS provides an integrated interface to a broad range of material handling equipment. It is able to manage and control equipment in the warehouse. We analysed key functions and limitations of an existing WCS and suggest a new architecture for the WCS. To address such requirements and limitations, a new architecture and functions of WCS/HMI-ECS are suggested. In this paper we introduce a pilot system according to defined WCS/HMI-ECS architecture.
{"title":"A study of building a new warehouse control system architecture","authors":"D. W. Son, Y.S. Chang, H.C. Choi, W. R. Kim, A. G. Higuera","doi":"10.1080/2287108X.2015.1103527","DOIUrl":"https://doi.org/10.1080/2287108X.2015.1103527","url":null,"abstract":"In the warehouse, the typical logistics software is the warehouse control system (WCS). WCS provides an integrated interface to a broad range of material handling equipment. It is able to manage and control equipment in the warehouse. We analysed key functions and limitations of an existing WCS and suggest a new architecture for the WCS. To address such requirements and limitations, a new architecture and functions of WCS/HMI-ECS are suggested. In this paper we introduce a pilot system according to defined WCS/HMI-ECS architecture.","PeriodicalId":276731,"journal":{"name":"International Journal of Advanced Logistics","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131584799","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 : 2015-05-04DOI: 10.1080/2287108X.2015.1059920
A. Asadi, Mohammed Alsubaey, C. Makatsoris
Construction project management is vital for accomplishing pre-determined objectives. Despite using construction management, most of the projects do not meet original time schedule or has been delayed. Delay is one of the biggest problems faced by construction industry. This project is a study the critical delay factors for project management in construction focusing contractors in Qatar and to build a prediction model to avoid the same in future projects. The objectives of this research project are to investigate delay factors to help contractors to reach their goals on time during construction. This research will review the delay factors through literature review survey questionnaire targeting professionals at a construction company who are involved in many construction projects in Qatar. The correlation between them is examined to produce the best ways in preventing delays. This study was carried out based on comprehensive literature review, which was done to provide the background, history and delay factors of delays in construction. The information of literature review was then used to design and conduct a survey questionnaire to investigate delay factors in construction projects in Qatar and was distributed to the targeted respondents at the contractors company. Later the top delay factors achieved from the questionnaire were combined with secondary data collected from an ongoing mega project for the same company to build a prediction model using WEKA software.
{"title":"A machine learning approach for predicting delays in construction logistics","authors":"A. Asadi, Mohammed Alsubaey, C. Makatsoris","doi":"10.1080/2287108X.2015.1059920","DOIUrl":"https://doi.org/10.1080/2287108X.2015.1059920","url":null,"abstract":"Construction project management is vital for accomplishing pre-determined objectives. Despite using construction management, most of the projects do not meet original time schedule or has been delayed. Delay is one of the biggest problems faced by construction industry. This project is a study the critical delay factors for project management in construction focusing contractors in Qatar and to build a prediction model to avoid the same in future projects. The objectives of this research project are to investigate delay factors to help contractors to reach their goals on time during construction. This research will review the delay factors through literature review survey questionnaire targeting professionals at a construction company who are involved in many construction projects in Qatar. The correlation between them is examined to produce the best ways in preventing delays. This study was carried out based on comprehensive literature review, which was done to provide the background, history and delay factors of delays in construction. The information of literature review was then used to design and conduct a survey questionnaire to investigate delay factors in construction projects in Qatar and was distributed to the targeted respondents at the contractors company. Later the top delay factors achieved from the questionnaire were combined with secondary data collected from an ongoing mega project for the same company to build a prediction model using WEKA software.","PeriodicalId":276731,"journal":{"name":"International Journal of Advanced Logistics","volume":"661 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121995837","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 : 2015-05-04DOI: 10.1080/2287108X.2015.1039261
F. Maurer, U. Lechner, J. Schumacher
This paper presents the results of a case study about robustness in supply chain management, conducted with an international transport logistics provider for valuable goods. In general, transport logistics providers for valuable goods have to be more robust by nature and depend of continuous engineering of its performances. Robustness can be seen as an umbrella term which consists of a subset of business concepts and tools. These concepts and tools interdepend on each other. Their aim is to control and monitor performance indicators, keep defined quality, detect risks and threats in and out of the organization, etc.
{"title":"Robust designs for logistics service providers: a case study","authors":"F. Maurer, U. Lechner, J. Schumacher","doi":"10.1080/2287108X.2015.1039261","DOIUrl":"https://doi.org/10.1080/2287108X.2015.1039261","url":null,"abstract":"This paper presents the results of a case study about robustness in supply chain management, conducted with an international transport logistics provider for valuable goods. In general, transport logistics providers for valuable goods have to be more robust by nature and depend of continuous engineering of its performances. Robustness can be seen as an umbrella term which consists of a subset of business concepts and tools. These concepts and tools interdepend on each other. Their aim is to control and monitor performance indicators, keep defined quality, detect risks and threats in and out of the organization, etc.","PeriodicalId":276731,"journal":{"name":"International Journal of Advanced Logistics","volume":"350 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114823259","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 : 2015-05-04DOI: 10.1080/2287108X.2015.1048622
H. Han, Y. Chang
Compared to raw materials and parts, the importance of ULDs (unit load devices) is often disregarded, and the method of managing ULD is primitive compared to the management of other areas of logistics which adopts emerging technology such as RFID and USN (Ubiquitous Sensor Network). Two major airlines in South Korea annually report the increasing numbers of missing ULD, and occasionally, they lost their sales opportunity due to the inaccurate information of ULD inventory. Basically, they manage the inventory by counting the quantity of ULD at the storage area without considering the status of ULD.
{"title":"Status management of returnable assets in air cargo","authors":"H. Han, Y. Chang","doi":"10.1080/2287108X.2015.1048622","DOIUrl":"https://doi.org/10.1080/2287108X.2015.1048622","url":null,"abstract":"Compared to raw materials and parts, the importance of ULDs (unit load devices) is often disregarded, and the method of managing ULD is primitive compared to the management of other areas of logistics which adopts emerging technology such as RFID and USN (Ubiquitous Sensor Network). Two major airlines in South Korea annually report the increasing numbers of missing ULD, and occasionally, they lost their sales opportunity due to the inaccurate information of ULD inventory. Basically, they manage the inventory by counting the quantity of ULD at the storage area without considering the status of ULD.","PeriodicalId":276731,"journal":{"name":"International Journal of Advanced Logistics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131467580","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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