Pub Date : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939434
N. Smata, D. Boudebous, J. Boukachour, S. Benmansour, C. Tolba
The modelling of production, supply, and distribution systems or quite simply supply chain constitutes an object of search always for topicality, because of its great complexity due mainly to the mutual interaction of multi-natural phenomena and are subject to numerous constraints and requirements. This multi-fields character returns the analysis of these systems often to realize according to each discipline in an isolated way, thus masking the interactions between the fields and complexes the total analysis of this supply chain. From where the idea to introduce new approaches particularly conceived to model all fields according to a whole coherent and unified, and brings legibility in term of interactions analysis, which gives a clearer global vision of chain. It is in this context that we propose to apply the Petri Net in the supply chain while we extended the Petri Net traffic model to study the dynamic behavior of physical flow on supply chain. We have transposed the concepts developed for the traffic to the supply chain.
{"title":"Production, supply, and traffic systems: A unified modelling using Petri Nets","authors":"N. Smata, D. Boudebous, J. Boukachour, S. Benmansour, C. Tolba","doi":"10.1109/LOGISTIQUA.2011.5939434","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939434","url":null,"abstract":"The modelling of production, supply, and distribution systems or quite simply supply chain constitutes an object of search always for topicality, because of its great complexity due mainly to the mutual interaction of multi-natural phenomena and are subject to numerous constraints and requirements. This multi-fields character returns the analysis of these systems often to realize according to each discipline in an isolated way, thus masking the interactions between the fields and complexes the total analysis of this supply chain. From where the idea to introduce new approaches particularly conceived to model all fields according to a whole coherent and unified, and brings legibility in term of interactions analysis, which gives a clearer global vision of chain. It is in this context that we propose to apply the Petri Net in the supply chain while we extended the Petri Net traffic model to study the dynamic behavior of physical flow on supply chain. We have transposed the concepts developed for the traffic to the supply chain.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133336908","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939436
S. Nupap, N. Chakpitak, P. Sureephong, Ridha Derrouiche, G. Neubert
Recently, due to the financial crisis all over the world, the intensive competition in global market, lack of government and financial support, and non-using advanced technology, many small and medium sized ceramic enterprises (SMEs) in Lampang, Thailand have been closed down dramatically. This paper deals with the upgrading of Thai SMEs in order to meet with the international standards and business viability. Based on different tools and methodology applied, such as Business Planning, Product Lifecycle Management (PLM), Business Process Reengineering (BPR), and open source Enterprise Resource Planning (ERP), a proposed conceptual framework was developed for SMEs Business Life Cycle Management. The result of this research is expected to get a framework for preparing experienced SME before taking a loan from the banks or being registered to MAI. The framework is applied with the Intellectual Capital (IC) theory. Solution Ceramic Co., Ltd. is used as a case study for this work.
{"title":"A framework to lead Thai SMEs to fit international business requirement","authors":"S. Nupap, N. Chakpitak, P. Sureephong, Ridha Derrouiche, G. Neubert","doi":"10.1109/LOGISTIQUA.2011.5939436","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939436","url":null,"abstract":"Recently, due to the financial crisis all over the world, the intensive competition in global market, lack of government and financial support, and non-using advanced technology, many small and medium sized ceramic enterprises (SMEs) in Lampang, Thailand have been closed down dramatically. This paper deals with the upgrading of Thai SMEs in order to meet with the international standards and business viability. Based on different tools and methodology applied, such as Business Planning, Product Lifecycle Management (PLM), Business Process Reengineering (BPR), and open source Enterprise Resource Planning (ERP), a proposed conceptual framework was developed for SMEs Business Life Cycle Management. The result of this research is expected to get a framework for preparing experienced SME before taking a loan from the banks or being registered to MAI. The framework is applied with the Intellectual Capital (IC) theory. Solution Ceramic Co., Ltd. is used as a case study for this work.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124810965","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939433
M. Bennekrouf, F. Boudahri, Z. Sari
In the recent years, the reverse logistic supply chain has taken an important part in manufacturing systems. Due to the pressures from both environmental awareness and business sustainability, several companies must work in collaboration to solve partially the problem of waste recovery. The purpose of this work is to help those companies who would like to pursue reverse logistics as axe of profit. In this paper we present a mixed-integer linear programming (MILP) model which includes several costs of collection, treatment and sales income from secondary market. The goal of study is to investigate the best material flows between different specialized facilities under capacities constraints and costs minimization. The model is sub divides in two levels: the first level concerns the collect process while a size of each product is compared to a standard size to optimize the storage capacity of collection centers. Then to unify the request of several products or classes of products, in the second level a running time is added instead a processing capacity by product and used to facilitate the study of multi-product case. This proposed optimization model can help to determine the optimal facility location and the material flows of network for multiproduct in pseudo dynamic case. The usefulness of the proposed model is a real design of reverse network with considering the uncertain quantity of collected product and a progressive investment. To give to the study an illustration, we present an example to regard the recovery rate using Lingo 12.0 solver.
{"title":"Optimal design of two levels reverse logistic supply chain by considering the uncertain quantity of collected multi-products","authors":"M. Bennekrouf, F. Boudahri, Z. Sari","doi":"10.1109/LOGISTIQUA.2011.5939433","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939433","url":null,"abstract":"In the recent years, the reverse logistic supply chain has taken an important part in manufacturing systems. Due to the pressures from both environmental awareness and business sustainability, several companies must work in collaboration to solve partially the problem of waste recovery. The purpose of this work is to help those companies who would like to pursue reverse logistics as axe of profit. In this paper we present a mixed-integer linear programming (MILP) model which includes several costs of collection, treatment and sales income from secondary market. The goal of study is to investigate the best material flows between different specialized facilities under capacities constraints and costs minimization. The model is sub divides in two levels: the first level concerns the collect process while a size of each product is compared to a standard size to optimize the storage capacity of collection centers. Then to unify the request of several products or classes of products, in the second level a running time is added instead a processing capacity by product and used to facilitate the study of multi-product case. This proposed optimization model can help to determine the optimal facility location and the material flows of network for multiproduct in pseudo dynamic case. The usefulness of the proposed model is a real design of reverse network with considering the uncertain quantity of collected product and a progressive investment. To give to the study an illustration, we present an example to regard the recovery rate using Lingo 12.0 solver.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115053413","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939297
Z. Zouari, Kais Khayech
In this paper, I would like to have a glimpse on the several approaches to clarify a better method for the purpose of evaluating the performance of port chain logistics. This latter represents several dimensions. The logistical aspects incite to underline the relative importance of the commercial and the operational dimensions. The application on the port of Sousse, following a survey of some indicators evolution during the period 2000–2010, permitting to clarify several findings that touch its level of working and its capacity to satisfy the expectations of its users and customers.
{"title":"Performance evaluation of port logistics: The case of the Sousse port","authors":"Z. Zouari, Kais Khayech","doi":"10.1109/LOGISTIQUA.2011.5939297","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939297","url":null,"abstract":"In this paper, I would like to have a glimpse on the several approaches to clarify a better method for the purpose of evaluating the performance of port chain logistics. This latter represents several dimensions. The logistical aspects incite to underline the relative importance of the commercial and the operational dimensions. The application on the port of Sousse, following a survey of some indicators evolution during the period 2000–2010, permitting to clarify several findings that touch its level of working and its capacity to satisfy the expectations of its users and customers.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116382357","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939396
S. Elkosantini, Salima Mnif, H. Chabchoub
The main focus of this research is on the development of bimodal traffic controller for signposted road-rail junctions. The role of such systems is to manage the existing infrastructure to ease congestion and respond to crises. The system seek to have a system that insure a safer and more convenient travel for people. In this paper, the proposed controller is based on case based reasoning (CBR) approach. In fact, the CBR is always considered as a cyclic paradigm of Artificial Intelligence and that is used to learning and problem solving based on past experience. The developed system is tested with on a virtual junction and the obtained results are discussed.
{"title":"An urban traffic controller for signposted road-rail intersections","authors":"S. Elkosantini, Salima Mnif, H. Chabchoub","doi":"10.1109/LOGISTIQUA.2011.5939396","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939396","url":null,"abstract":"The main focus of this research is on the development of bimodal traffic controller for signposted road-rail junctions. The role of such systems is to manage the existing infrastructure to ease congestion and respond to crises. The system seek to have a system that insure a safer and more convenient travel for people. In this paper, the proposed controller is based on case based reasoning (CBR) approach. In fact, the CBR is always considered as a cyclic paradigm of Artificial Intelligence and that is used to learning and problem solving based on past experience. The developed system is tested with on a virtual junction and the obtained results are discussed.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117061241","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939309
A. Ammeri, H. Chabchoub, Wafik Hachicha, F. Masmoudi
This paper deals with the lot sizing problem in Make To Order (MTO) supply chain solved by simulation optimization (SO) approach. A comprehensive case study which presented in detail involves a multi-stage, multi-product, multi-location, multi-resource with setup, capacity constraints and stochastic demand. The case study objective is to determine a fixed optimal lot size for each manufactured product type that will ensure Order Mean Flow Time (OMFT) target value for each finished product type. For a comparative purpose, three SO methods are used: (1) A metamodel method based on Response Surface Methodology (RSM), (2) A metamodel method based on Factorial Design, and (3) Global Search method based simultaneously on Tabu Search, Neural Networks, and Scatter Search. Methods (1) and (2) have been treated in the literature with a manual based approach, while the method (3) using the OptQuest Software will be more addressed in this paper,. The results of the comparative study show that the first method which is based on RSM is very effective while the third one is very practical and gives a good satisfactory solution.
{"title":"A comparative study of lot sizing problem in MTO supply chain based on simulation optimization approach","authors":"A. Ammeri, H. Chabchoub, Wafik Hachicha, F. Masmoudi","doi":"10.1109/LOGISTIQUA.2011.5939309","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939309","url":null,"abstract":"This paper deals with the lot sizing problem in Make To Order (MTO) supply chain solved by simulation optimization (SO) approach. A comprehensive case study which presented in detail involves a multi-stage, multi-product, multi-location, multi-resource with setup, capacity constraints and stochastic demand. The case study objective is to determine a fixed optimal lot size for each manufactured product type that will ensure Order Mean Flow Time (OMFT) target value for each finished product type. For a comparative purpose, three SO methods are used: (1) A metamodel method based on Response Surface Methodology (RSM), (2) A metamodel method based on Factorial Design, and (3) Global Search method based simultaneously on Tabu Search, Neural Networks, and Scatter Search. Methods (1) and (2) have been treated in the literature with a manual based approach, while the method (3) using the OptQuest Software will be more addressed in this paper,. The results of the comparative study show that the first method which is based on RSM is very effective while the third one is very practical and gives a good satisfactory solution.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114184514","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939394
Mohamed Haykal Ammar, Samir Ben Hafssia, Youssef Masmoudi, H. Chabchoub
Nowadays, classification is one of the many fields in Data Mining, also known as Knowledge Discovery in Databases, which aims at extracting information from large data volumes. In order to achieve this, data mining uses different computational techniques from machine learning, statistics and pattern recognition. In this work, a Data Mining techniques is used to help the Decision Maker of a Marin Transportation Firm called “SONOTRAK” to allocate a ship for a trip. The target is to ensure the transportation between “Sfax” city (Tunisia) and a closed island called “Kerkennah”. The fleet of “SONOTRAK” consists of five ships with different passenger and cars capabilities. The obtained classification gives groups of similar trips. Each class will be subject to arrange available ships according to the history of allocated trips in the last year. The most used ship will be the preferred one, and so on. Each ship will have a fitness value calculated according to this arrangement and to its fuel cost. The ship with the better fitness value will be allocated to the trip. The result ensures better management of the fleet of the company, and gives effect not only on the overall traffic but also on the fuel costs.
{"title":"Marine fleet allocation using data mining techniques","authors":"Mohamed Haykal Ammar, Samir Ben Hafssia, Youssef Masmoudi, H. Chabchoub","doi":"10.1109/LOGISTIQUA.2011.5939394","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939394","url":null,"abstract":"Nowadays, classification is one of the many fields in Data Mining, also known as Knowledge Discovery in Databases, which aims at extracting information from large data volumes. In order to achieve this, data mining uses different computational techniques from machine learning, statistics and pattern recognition. In this work, a Data Mining techniques is used to help the Decision Maker of a Marin Transportation Firm called “SONOTRAK” to allocate a ship for a trip. The target is to ensure the transportation between “Sfax” city (Tunisia) and a closed island called “Kerkennah”. The fleet of “SONOTRAK” consists of five ships with different passenger and cars capabilities. The obtained classification gives groups of similar trips. Each class will be subject to arrange available ships according to the history of allocated trips in the last year. The most used ship will be the preferred one, and so on. Each ship will have a fitness value calculated according to this arrangement and to its fuel cost. The ship with the better fitness value will be allocated to the trip. The result ensures better management of the fleet of the company, and gives effect not only on the overall traffic but also on the fuel costs.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124638990","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939411
H. Mehri, Saïd Toumi
Using digraph and matrix method this research enunciates a simple method to quantify supply chain sustainability for small and medium enterprises. It proposes a numerical index which can be used to measure sustainability for different supply chains in actual practical settings. This approach also provides the opportunity to visualize variable interdependencies at system level and also presents a method to compare supply chains on sustainability dimension. The research would help to understand the dynamics between different variables and sub-variables of a sustainable supply chain and more importantly. It would facilitate organizations to identify the areas in which the supply chain is lacking and need immediate attention to improve the overall supply chain sustainability. Numerical assessment of supply chain sustainability by transforming it in an index is a unique attempt in the area of supply chain management.
{"title":"Sustainability metrics for a supply chain: The case of small and medium entreprises","authors":"H. Mehri, Saïd Toumi","doi":"10.1109/LOGISTIQUA.2011.5939411","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939411","url":null,"abstract":"Using digraph and matrix method this research enunciates a simple method to quantify supply chain sustainability for small and medium enterprises. It proposes a numerical index which can be used to measure sustainability for different supply chains in actual practical settings. This approach also provides the opportunity to visualize variable interdependencies at system level and also presents a method to compare supply chains on sustainability dimension. The research would help to understand the dynamics between different variables and sub-variables of a sustainable supply chain and more importantly. It would facilitate organizations to identify the areas in which the supply chain is lacking and need immediate attention to improve the overall supply chain sustainability. Numerical assessment of supply chain sustainability by transforming it in an index is a unique attempt in the area of supply chain management.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128352143","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939430
I. Chaieb Memmi, S. Hammami
When firms dealing with their inventory control problems, consider jointly the two models: Economic Order Quantity model and Economic Production Quantity model, they can considerably reduce the total cost of the supply chain system. In this research, we confirm this statement by solving an integrated inventory control model through intra-firm planning by integrating manufacturer's raw material procurement and its production. The aim is to help, at a tactical level, firms having multiple types of products to manufacturer, multiple types of raw materials, multiple competing suppliers, non linear raw material purchasing costs, non linear raw materials transportation costs, to determine the amounts of raw materials to buy, and the amounts of finished products to manufacture. These amounts have to satisfy customers' demands without backlog and to minimize the total cost of the inventory system. The demand is deterministic and can vary from a period to another. The joint raw material delivery and lot sizing problem is formulated as a mixed integer linear program and applied to a real-life case, plastic items manufacturer. To solve the problem, we make use of a commercial solver (CPLEX). The results obtained indicate that we manage to decrease the total cost considered.
{"title":"Study of a real-life joint raw material delivery and lot sizing problem","authors":"I. Chaieb Memmi, S. Hammami","doi":"10.1109/LOGISTIQUA.2011.5939430","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939430","url":null,"abstract":"When firms dealing with their inventory control problems, consider jointly the two models: Economic Order Quantity model and Economic Production Quantity model, they can considerably reduce the total cost of the supply chain system. In this research, we confirm this statement by solving an integrated inventory control model through intra-firm planning by integrating manufacturer's raw material procurement and its production. The aim is to help, at a tactical level, firms having multiple types of products to manufacturer, multiple types of raw materials, multiple competing suppliers, non linear raw material purchasing costs, non linear raw materials transportation costs, to determine the amounts of raw materials to buy, and the amounts of finished products to manufacture. These amounts have to satisfy customers' demands without backlog and to minimize the total cost of the inventory system. The demand is deterministic and can vary from a period to another. The joint raw material delivery and lot sizing problem is formulated as a mixed integer linear program and applied to a real-life case, plastic items manufacturer. To solve the problem, we make use of a commercial solver (CPLEX). The results obtained indicate that we manage to decrease the total cost considered.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125605788","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 : 2011-07-05DOI: 10.1109/LOGISTIQUA.2011.5939315
Y. Bouzembrak, H. Allaoui, G. Goncalves, H. Bouchriha
In this paper, we study a green supply chain network design problem with environmental concerns. We are interested in the environmental investments decisions in the design phase and propose a multi-objective optimization model that captures the a compromise between the total cost and the environment influence. This work addresses the optimization of the supply chain design considering economical and environmental issues. We explicitly consider two objective functions. The first one, measures the total cost: fixed setup cost, environmental protection investment, transportation cost, logistics cost, waste treatment cost and energy consumption cost. The second one, measures the total CO2 emission in all the supply chain. The strategic decisions considered in the model are warehouses and distribution centers location, building technology selection and processing/distribution planning.
{"title":"A multi-objective green supply chain network design","authors":"Y. Bouzembrak, H. Allaoui, G. Goncalves, H. Bouchriha","doi":"10.1109/LOGISTIQUA.2011.5939315","DOIUrl":"https://doi.org/10.1109/LOGISTIQUA.2011.5939315","url":null,"abstract":"In this paper, we study a green supply chain network design problem with environmental concerns. We are interested in the environmental investments decisions in the design phase and propose a multi-objective optimization model that captures the a compromise between the total cost and the environment influence. This work addresses the optimization of the supply chain design considering economical and environmental issues. We explicitly consider two objective functions. The first one, measures the total cost: fixed setup cost, environmental protection investment, transportation cost, logistics cost, waste treatment cost and energy consumption cost. The second one, measures the total CO2 emission in all the supply chain. The strategic decisions considered in the model are warehouses and distribution centers location, building technology selection and processing/distribution planning.","PeriodicalId":324478,"journal":{"name":"2011 4th International Conference on Logistics","volume":"46 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114011843","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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