Pub Date : 2015-10-01DOI: 10.1109/IESM.2015.7380188
C. Pimentel, Sandra Martins
Nowadays, more than ever, organisations are striving for ways to improve the production flow of different products. This is achieved at the expense of a better use of their resources, such as equipment, people, and materials, among others. Thus, the process of changing production systems, in order to make them more efficient, became a top priority to the manufacturers in the current environment of the global economy. In this context, cellular manufacturing systems arise, providing several different kinds of benefits over traditional production systems, allowing for the improvement of the customer satisfaction. In this paper the changing process, from a job shop production system to a manufacturing cellular system, at the company Durit - Metalurgia Portuguesa do Tungsténio, Lda. is presented. In addition, the gains achieved with the implementation of the manufacturing cellular system, in comparison with the production system previously used are also presented. The results after the implementation of the new production system were impressive. Two critical factors of success were the careful selection of the parts family and of the human resources.
如今，组织比以往任何时候都更努力寻找改善不同产品生产流程的方法。这是以更好地利用他们的资源为代价的，比如设备、人员和材料等等。因此，在当前的全球经济环境下，改变生产系统的过程，以使其更有效率，成为制造商的最高优先事项。在这种情况下，细胞制造系统出现了，提供了几种不同的传统生产系统的好处，允许提高客户满意度。本文介绍了Durit - Metalurgia portuesa do tungstacimnio, Lda公司从作业车间生产系统到制造单元系统的转变过程。提出了。此外，还介绍了制造单元系统的实施与以前使用的生产系统的比较所取得的成果。新生产系统实施后的效果令人印象深刻。成功的两个关键因素是仔细选择零件家族和人力资源。
{"title":"Design and implementation of a manufacturing cell in a job shop environment: An action research study","authors":"C. Pimentel, Sandra Martins","doi":"10.1109/IESM.2015.7380188","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380188","url":null,"abstract":"Nowadays, more than ever, organisations are striving for ways to improve the production flow of different products. This is achieved at the expense of a better use of their resources, such as equipment, people, and materials, among others. Thus, the process of changing production systems, in order to make them more efficient, became a top priority to the manufacturers in the current environment of the global economy. In this context, cellular manufacturing systems arise, providing several different kinds of benefits over traditional production systems, allowing for the improvement of the customer satisfaction. In this paper the changing process, from a job shop production system to a manufacturing cellular system, at the company Durit - Metalurgia Portuguesa do Tungsténio, Lda. is presented. In addition, the gains achieved with the implementation of the manufacturing cellular system, in comparison with the production system previously used are also presented. The results after the implementation of the new production system were impressive. Two critical factors of success were the careful selection of the parts family and of the human resources.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132566819","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380325
Amal Gouiaa-Mtibaa, S. Dellagi, Z. Achour, Walid Erray
This paper investigates integrated models joining Non Quality effect and preventive maintenance (PM) policy. We consider a single machine subject to random failure rate and producing progressive deteriorating products. A preventive maintenance (PM) strategy with minimal repair is applied with non negligible durations of maintenance tasks. This study consists in developing analytical models in order to determine the optimal integrated maintenance plan taking into account the impact of non-conforming products. Two strategies are developed. The first strategy consists on selling products at a discount price due to the loss of quality caused by the machine degradation. The aim of this strategy is to determine the optimal number of batches produced N* before applying each preventive maintenance action maximizing the total profit (PT) per time unit. For the second strategy, we propose a rework activity for deteriorated products in order to improve their quality condition to be sold at the best price Pmax. For this second approach, our objective is to determine the number of batches sold after a reworking task N1 and the number of batches sold at a discount price N2. A mathematical model is developed to find simultaneously the optimal value of the two decision variables N1* and N2* which maximize the total net profit (PNT) per time unit for a finite horizon H taking into account rework and setup costs. The preventive maintenance action will be undertaking after each N1+N2 batches. Numerical examples are presented in order to illustrate proposed models and a sensitivity study is used to evaluate the influence of model parameters.
{"title":"Joint integrated maintenance-quality policy with reworking activity","authors":"Amal Gouiaa-Mtibaa, S. Dellagi, Z. Achour, Walid Erray","doi":"10.1109/IESM.2015.7380325","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380325","url":null,"abstract":"This paper investigates integrated models joining Non Quality effect and preventive maintenance (PM) policy. We consider a single machine subject to random failure rate and producing progressive deteriorating products. A preventive maintenance (PM) strategy with minimal repair is applied with non negligible durations of maintenance tasks. This study consists in developing analytical models in order to determine the optimal integrated maintenance plan taking into account the impact of non-conforming products. Two strategies are developed. The first strategy consists on selling products at a discount price due to the loss of quality caused by the machine degradation. The aim of this strategy is to determine the optimal number of batches produced N* before applying each preventive maintenance action maximizing the total profit (PT) per time unit. For the second strategy, we propose a rework activity for deteriorated products in order to improve their quality condition to be sold at the best price Pmax. For this second approach, our objective is to determine the number of batches sold after a reworking task N1 and the number of batches sold at a discount price N2. A mathematical model is developed to find simultaneously the optimal value of the two decision variables N1* and N2* which maximize the total net profit (PNT) per time unit for a finite horizon H taking into account rework and setup costs. The preventive maintenance action will be undertaking after each N1+N2 batches. Numerical examples are presented in order to illustrate proposed models and a sensitivity study is used to evaluate the influence of model parameters.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133841925","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380166
A. Guinet, Roberto Faccincani
As many public institutions, hospitals are open spaces. Patients, staffs, visitors..., can access a lot of care units without control and can be in contact with many people. The most crowded places are often the most vulnerable areas where terrorist attacks can be the most damageable. This paper proposes an approach to evaluate the most crowded places in order to implement countermeasures against terrorist attacks. Firstly, a static model is constructed using the IDEF0 method in order to identify the different units of a hospital with their processes, and the accesses between units. Secondly by extracting the units and the accesses between the units, a flow model is specified to calculate the traffic in the hospital per hour. A linear program allows us to implement our dynamic model and to evaluate the most crowded areas. This communication relates one of the first results of the CIPS European Project called “THREATS”. This project aims to increase the resilience of EU hospitals as a critical infrastructure, by improving their protection capability and security awareness against terrorist attacks.
{"title":"Hospital's vulnerability assessment","authors":"A. Guinet, Roberto Faccincani","doi":"10.1109/IESM.2015.7380166","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380166","url":null,"abstract":"As many public institutions, hospitals are open spaces. Patients, staffs, visitors..., can access a lot of care units without control and can be in contact with many people. The most crowded places are often the most vulnerable areas where terrorist attacks can be the most damageable. This paper proposes an approach to evaluate the most crowded places in order to implement countermeasures against terrorist attacks. Firstly, a static model is constructed using the IDEF0 method in order to identify the different units of a hospital with their processes, and the accesses between units. Secondly by extracting the units and the accesses between the units, a flow model is specified to calculate the traffic in the hospital per hour. A linear program allows us to implement our dynamic model and to evaluate the most crowded areas. This communication relates one of the first results of the CIPS European Project called “THREATS”. This project aims to increase the resilience of EU hospitals as a critical infrastructure, by improving their protection capability and security awareness against terrorist attacks.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133890888","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380207
Youcef Bereriche, D. Kadi
In this paper, we propose a probabilistic analysis approach for assessing the reliability of supply chain for contingency operation consisting of several cities. We consider that the demand of cities and the quantity of products available at distribution centre are uncertain. Also, we analyze the case where the quality of products available at distribution center is considered uncertain. We evaluate the reliability of supply chain without making any particular assumption on normality of distribution of population demand and the quantity of products available at distribution center. Also, we analyse the problem with making correlation between demand of each city and quantity of products available at distribution center. To conduct a probabilistic analysis we consider the supply chain as a structure that undergoes an external load represented by the demand of population during the crisis period and resist to this load by its strength represented by the quantity of products available at distribution center. The reliability of supply chain for contingency operation is defined as the probability that the available inventory at distribution center meets all population demand during crisis period. The supply chain is considered “failed” if the quantity available at distribution center is less than population demand during crisis period. First Order Reliability Method is used to evaluate the reliability of supply chain.
{"title":"Reliability analysis of supply chain for contingency operations","authors":"Youcef Bereriche, D. Kadi","doi":"10.1109/IESM.2015.7380207","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380207","url":null,"abstract":"In this paper, we propose a probabilistic analysis approach for assessing the reliability of supply chain for contingency operation consisting of several cities. We consider that the demand of cities and the quantity of products available at distribution centre are uncertain. Also, we analyze the case where the quality of products available at distribution center is considered uncertain. We evaluate the reliability of supply chain without making any particular assumption on normality of distribution of population demand and the quantity of products available at distribution center. Also, we analyse the problem with making correlation between demand of each city and quantity of products available at distribution center. To conduct a probabilistic analysis we consider the supply chain as a structure that undergoes an external load represented by the demand of population during the crisis period and resist to this load by its strength represented by the quantity of products available at distribution center. The reliability of supply chain for contingency operation is defined as the probability that the available inventory at distribution center meets all population demand during crisis period. The supply chain is considered “failed” if the quantity available at distribution center is less than population demand during crisis period. First Order Reliability Method is used to evaluate the reliability of supply chain.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"311 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115906769","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380271
María del Mar Miras-Rodríguez, B. Escobar-Pérez, Jose Antonio Dominguez Machuca
Implementing sustainability practices has become a requirement to be able to operate in several markets since the legal requirements are increasing and society (as well as customers) values sustainability behaviors more.
{"title":"Sustainability drivers, barriers and outcomes: Evidence from european high performance manufacturing companies","authors":"María del Mar Miras-Rodríguez, B. Escobar-Pérez, Jose Antonio Dominguez Machuca","doi":"10.1109/IESM.2015.7380271","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380271","url":null,"abstract":"Implementing sustainability practices has become a requirement to be able to operate in several markets since the legal requirements are increasing and society (as well as customers) values sustainability behaviors more.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132388259","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380213
Placido Moreno, S. Lozano, B. Adenso-Díaz, S. G. Carbajal
Several factors must usually be taken into account when deciding the design of a supply chain network. In most cases, the economic impact and the resulting service quality are the most common. In this sense, one of the strategies with a big impact in both factors is which inventory centralization level is the most appropriate. High decentralization levels usually provides a better service but with a higher costs due to a more inefficient use of resources. However, the environmental impact of this decision has not been considered in this equation. Here it is analyzed whether considering environmental impact could affect the decision regarding the centralization level. An experimental framework has been designed to check the influence of two factors (the clustering of the clients and their closeness to the manufacturing plant), using a MILP model to look for the best distribution network for each instance.
{"title":"Influence of the environmental impact of logistics operations on the centralization strategy","authors":"Placido Moreno, S. Lozano, B. Adenso-Díaz, S. G. Carbajal","doi":"10.1109/IESM.2015.7380213","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380213","url":null,"abstract":"Several factors must usually be taken into account when deciding the design of a supply chain network. In most cases, the economic impact and the resulting service quality are the most common. In this sense, one of the strategies with a big impact in both factors is which inventory centralization level is the most appropriate. High decentralization levels usually provides a better service but with a higher costs due to a more inefficient use of resources. However, the environmental impact of this decision has not been considered in this equation. Here it is analyzed whether considering environmental impact could affect the decision regarding the centralization level. An experimental framework has been designed to check the influence of two factors (the clustering of the clients and their closeness to the manufacturing plant), using a MILP model to look for the best distribution network for each instance.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132889304","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380311
Giulio Gilia, V. Mistretta, C. Muriana, T. Piazza, G. Vizzini
Health care organizations are increasing their efforts towards administrative and clinical-process informatization. In this field, the electronic health record (EHR) can be usefully employed to improve the patient care process, as it allows the health care operator to chronologically gather care events. In achieving such a goal, the possibility of storing care events issuing from different sources is the main challenge to be faced, as it involves the possibility of rendering interoperable different proprietary systems that use customized encoding systems. System interoperability requires the exchange of standardized information and documents, using specialized document templates and encoding systems. This is the case of the Health Level 7/Clinical Document Architecture (HL7/CDA2), which requires the Logical Observation Identifiers Names and Codes (LOINC®) system for encoding clinical documents. This paper presents a case study of an interoperability system aimed at producing HL7/CDA2 documents to be sent to a centralized EHR. The case study deals with the standardization of an analysis laboratory encoding system based on LOINC, focusing on a software tool for semi-automatic mapping of internal analysis laboratory codes into LOINC codes. It was carried out at the University of Pittsburgh Medical Center, Italy (UPMC Italy) within the Smart Health 2.0 (Pon04a2_C) project, and aimed at realizing an advanced EHR that enables the collection of structured documents produced by different health care organizations in the region of Sicily, and facilitates data retrieval and longitudinal or cross-sectional analysis.
{"title":"Improving interoperability of clinical documents: A case study of LOINC mapping in analysis laboratories","authors":"Giulio Gilia, V. Mistretta, C. Muriana, T. Piazza, G. Vizzini","doi":"10.1109/IESM.2015.7380311","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380311","url":null,"abstract":"Health care organizations are increasing their efforts towards administrative and clinical-process informatization. In this field, the electronic health record (EHR) can be usefully employed to improve the patient care process, as it allows the health care operator to chronologically gather care events. In achieving such a goal, the possibility of storing care events issuing from different sources is the main challenge to be faced, as it involves the possibility of rendering interoperable different proprietary systems that use customized encoding systems. System interoperability requires the exchange of standardized information and documents, using specialized document templates and encoding systems. This is the case of the Health Level 7/Clinical Document Architecture (HL7/CDA2), which requires the Logical Observation Identifiers Names and Codes (LOINC®) system for encoding clinical documents. This paper presents a case study of an interoperability system aimed at producing HL7/CDA2 documents to be sent to a centralized EHR. The case study deals with the standardization of an analysis laboratory encoding system based on LOINC, focusing on a software tool for semi-automatic mapping of internal analysis laboratory codes into LOINC codes. It was carried out at the University of Pittsburgh Medical Center, Italy (UPMC Italy) within the Smart Health 2.0 (Pon04a2_C) project, and aimed at realizing an advanced EHR that enables the collection of structured documents produced by different health care organizations in the region of Sicily, and facilitates data retrieval and longitudinal or cross-sectional analysis.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121317953","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380313
G. Bruno
The retrieval of manufacturing knowledge in companies is critical because product and process knowledge was not actually managed but only documented. Particularly, the identification of similarities between new and past products relied almost exclusively on the memory and the experience of people, and thus it is a time-consuming task. In this paper, a method to allow the automatic identification of past similar products is proposed, so that they can be used to speed up the design of manufacturing of the new product. The similarity is computed by using a semantic model in the form of ontology, which constitutes the hierarchical structure of concepts. A new similarity index is defined based on the portion of overlapping subgraph of concepts existing between two products. The different weight of each node is also considered because more descendants the node has, less specific its semantics information content is. The computation of the similarity measurement will allow the discovering of knowledge from stored data, thus supporting the engineers in searching for past products having similar characteristics with the new one. The potentiality of the proposed index is shown in a motivating example.
{"title":"Measuring product semantic similarity by exploiting a manufacturing process ontology","authors":"G. Bruno","doi":"10.1109/IESM.2015.7380313","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380313","url":null,"abstract":"The retrieval of manufacturing knowledge in companies is critical because product and process knowledge was not actually managed but only documented. Particularly, the identification of similarities between new and past products relied almost exclusively on the memory and the experience of people, and thus it is a time-consuming task. In this paper, a method to allow the automatic identification of past similar products is proposed, so that they can be used to speed up the design of manufacturing of the new product. The similarity is computed by using a semantic model in the form of ontology, which constitutes the hierarchical structure of concepts. A new similarity index is defined based on the portion of overlapping subgraph of concepts existing between two products. The different weight of each node is also considered because more descendants the node has, less specific its semantics information content is. The computation of the similarity measurement will allow the discovering of knowledge from stored data, thus supporting the engineers in searching for past products having similar characteristics with the new one. The potentiality of the proposed index is shown in a motivating example.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116001284","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380224
D. Daldoul, I. Nouaouri, H. Bouchriha, H. Allaoui
Emergency Departments (ED) is the center of the hospital management's efforts. It constitutes a complex system with limited resources and random demands. The goal of this paper is to optimize the number of the human and material resources. We focus particularly on medical staff (physicians and nurses) and beds in emergency department. We propose a mixed integer linear programming (MILP) that minimizes the number of waiting patients. We consider simultaneously four patients' queue. To solve this model, we use the solver ILOG CPLEX Optimization Studio. The program has been tested on a set of instances. Numerical results show that the number of waiting patients decreased by optimizing the number of the human and material resources.
{"title":"Optimization on human and material resources in Emergency Department","authors":"D. Daldoul, I. Nouaouri, H. Bouchriha, H. Allaoui","doi":"10.1109/IESM.2015.7380224","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380224","url":null,"abstract":"Emergency Departments (ED) is the center of the hospital management's efforts. It constitutes a complex system with limited resources and random demands. The goal of this paper is to optimize the number of the human and material resources. We focus particularly on medical staff (physicians and nurses) and beds in emergency department. We propose a mixed integer linear programming (MILP) that minimizes the number of waiting patients. We consider simultaneously four patients' queue. To solve this model, we use the solver ILOG CPLEX Optimization Studio. The program has been tested on a set of instances. Numerical results show that the number of waiting patients decreased by optimizing the number of the human and material resources.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116459413","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 : 2015-10-01DOI: 10.1109/IESM.2015.7380236
Roberto Domínguez, S. Cannella, J. Framiñan
This paper addresses the impact of inventory errors on the performance of arborescent supply chains, characterized by the bullwhip effect. The inventory records inaccuracy is caused by a permanent shrinkage. Periodic inventory audits are used to control the consequences of the inventory records inaccuracy phenomenon. Different levels of shrinkage and different frequency of audits are considered in the analysis. The performance of the arborescent supply chain is compared with the performance of a classical serial supply chain in order to provide benchmarking. Data is obtained through multi-agent simulation. Results show that the impact of inventory records inaccuracy on the bullwhip effect is higher in the arborescent supply chain: (1) the arborescent supply chain is more vulnerable to inventory shrinkage than the serial supply chain, and (2) the adoption of periodic inventory audits is more beneficial in terms of bullwhip reduction in the arborescent supply chain than the serial supply chain.
{"title":"On the evaluation of arborescent supply chains with inventory errors","authors":"Roberto Domínguez, S. Cannella, J. Framiñan","doi":"10.1109/IESM.2015.7380236","DOIUrl":"https://doi.org/10.1109/IESM.2015.7380236","url":null,"abstract":"This paper addresses the impact of inventory errors on the performance of arborescent supply chains, characterized by the bullwhip effect. The inventory records inaccuracy is caused by a permanent shrinkage. Periodic inventory audits are used to control the consequences of the inventory records inaccuracy phenomenon. Different levels of shrinkage and different frequency of audits are considered in the analysis. The performance of the arborescent supply chain is compared with the performance of a classical serial supply chain in order to provide benchmarking. Data is obtained through multi-agent simulation. Results show that the impact of inventory records inaccuracy on the bullwhip effect is higher in the arborescent supply chain: (1) the arborescent supply chain is more vulnerable to inventory shrinkage than the serial supply chain, and (2) the adoption of periodic inventory audits is more beneficial in terms of bullwhip reduction in the arborescent supply chain than the serial supply chain.","PeriodicalId":308675,"journal":{"name":"2015 International Conference on Industrial Engineering and Systems Management (IESM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115546077","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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