Pub Date : 2023-07-31DOI: 10.4995/ijpme.2023.18077
A. A. Abdessemed, L. Mouss, K. Benaggoune
In this paper, we present a novel hybrid meta-heuristic by enhancing the Basic Bees Algorithm through the integration of a local search method namely Simulated Annealing and Variable Neighbourhood Search like algorithm. The resulted hybrid bees algorithm (BASA) is used to solve the Single Machine Scheduling Problem with Early/Tardy jobs, where the generated outcomes are compared against the Basic Bees Algorithm (BA), and against some stat-of-the-art meta-heuristics. Computational results reveal that our proposed framework outperforms the Basic Bees Algorithm, and demonstrates a competitive performance compared with some algorithms extracted from the literature.
{"title":"BASA: An improved hybrid bees algorithm for the single machine scheduling with early/tardy jobs","authors":"A. A. Abdessemed, L. Mouss, K. Benaggoune","doi":"10.4995/ijpme.2023.18077","DOIUrl":"https://doi.org/10.4995/ijpme.2023.18077","url":null,"abstract":"In this paper, we present a novel hybrid meta-heuristic by enhancing the Basic Bees Algorithm through the integration of a local search method namely Simulated Annealing and Variable Neighbourhood Search like algorithm. The resulted hybrid bees algorithm (BASA) is used to solve the Single Machine Scheduling Problem with Early/Tardy jobs, where the generated outcomes are compared against the Basic Bees Algorithm (BA), and against some stat-of-the-art meta-heuristics. Computational results reveal that our proposed framework outperforms the Basic Bees Algorithm, and demonstrates a competitive performance compared with some algorithms extracted from the literature.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49548898","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 : 2023-07-31DOI: 10.4995/ijpme.2023.19598
Andrei Bancovich Erquínigo, Jorge Ortiz Porras, Harold Quintana Saavedra, Paola Crispin Chamorro, Rosiand Manrique Alva, Pedro Vilca Carhuapuma
Nowadays, the waste of resources has become one of the biggest problems for industries, due to the serious environmental, social and economic consequences it generates. Therefore, to ensure a production based on sustainable processes, it’s essential to have a responsible management of resources, being the first step one of the most important ones, the identification. Thus, the present research work aims to develop and implement a method based on the integration of Green and Lean methodologies to systematically identify ecological waste, taking as a case study a nectar factory in Lima - Peru. Through the implementation of tools such as Environmental Value Stream Mapping, Process Mapping or Failure Mode and Effects Analysis, it was found that the company generated a waste of 1584 litres of water and 38.5 kg of conditioned fruit every month. The identification of green waste is vital, as it is the first link in a long chain that contributes directly to improving the company's efficiency, profitability and reputation, as well as protecting the environment and promoting sustainable development.
{"title":"Green lean method to identify ecological waste in a nectar factory","authors":"Andrei Bancovich Erquínigo, Jorge Ortiz Porras, Harold Quintana Saavedra, Paola Crispin Chamorro, Rosiand Manrique Alva, Pedro Vilca Carhuapuma","doi":"10.4995/ijpme.2023.19598","DOIUrl":"https://doi.org/10.4995/ijpme.2023.19598","url":null,"abstract":"Nowadays, the waste of resources has become one of the biggest problems for industries, due to the serious environmental, social and economic consequences it generates. Therefore, to ensure a production based on sustainable processes, it’s essential to have a responsible management of resources, being the first step one of the most important ones, the identification. Thus, the present research work aims to develop and implement a method based on the integration of Green and Lean methodologies to systematically identify ecological waste, taking as a case study a nectar factory in Lima - Peru. Through the implementation of tools such as Environmental Value Stream Mapping, Process Mapping or Failure Mode and Effects Analysis, it was found that the company generated a waste of 1584 litres of water and 38.5 kg of conditioned fruit every month. The identification of green waste is vital, as it is the first link in a long chain that contributes directly to improving the company's efficiency, profitability and reputation, as well as protecting the environment and promoting sustainable development.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139353349","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 : 2023-07-31DOI: 10.4995/ijpme.2023.19426
R. Schonberger
Process improvement through cellular manufacturing, engineering, and management (CEM) is largely dated and neglected. This article aims at rejuvenating the topic through re-conceptualization in the form of twelve principles of workcell design, operation, and management, plus six corollary principles. An assessment model, based on the twelve principles is suggested for planning and evaluating proposed or operational CEM cases. Much of the attendant research emerges from published case studies, along with authors’ own extensive, on-site visitations and analyses. Collectively, an intent to present rationale for considering and treating the workcell/cellular construct as among the more significant concepts/methodologies within the field of manufacturing/engineering/production management.
{"title":"Principles of cellular manufacturing/engineering/management: case studies and explications","authors":"R. Schonberger","doi":"10.4995/ijpme.2023.19426","DOIUrl":"https://doi.org/10.4995/ijpme.2023.19426","url":null,"abstract":"Process improvement through cellular manufacturing, engineering, and management (CEM) is largely dated and neglected. This article aims at rejuvenating the topic through re-conceptualization in the form of twelve principles of workcell design, operation, and management, plus six corollary principles. An assessment model, based on the twelve principles is suggested for planning and evaluating proposed or operational CEM cases. Much of the attendant research emerges from published case studies, along with authors’ own extensive, on-site visitations and analyses. Collectively, an intent to present rationale for considering and treating the workcell/cellular construct as among the more significant concepts/methodologies within the field of manufacturing/engineering/production management.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46037858","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 : 2023-07-31DOI: 10.4995/ijpme.2023.19135
Onailis Oramas Santos, L. Canós-Darós, E. Babiloni
This paper analyzes the value chain approach in the red biotechnology sector from a bibliometric perspective, using Scopus and Web of Science databases from 2011 to 2021. As a result, 82 documents that cover this topic are analyzed with VOSviewer and R studio. The main findings show that scientific interest increases with a positive publication trend during the considered time period. However, there are no authorship networks in both database. Furthermore, the main reason to use the value chain approach in the red biotech sector is that it highlights the government’s implication on the industry, given its social impact. As a research gap, we recommend to study the effects of Industry 4.0 on the red biotech value chain approach.
本文利用2011 - 2021年的Scopus和Web of Science数据库，从文献计量学的角度分析了红色生物技术领域的价值链方法。因此，使用VOSviewer和R studio分析了涵盖该主题的82个文档。主要发现表明，在考虑的时间段内，科学兴趣随着积极的出版趋势而增加。然而，在这两个数据库中都没有作者网络。此外，在红色生物技术领域使用价值链方法的主要原因是，鉴于其社会影响，它突出了政府对该行业的影响。作为研究缺口，我们建议研究工业4.0对红色生物技术价值链方法的影响。
{"title":"The value chain approach in red biotechnology companies from a bibliometric perspective","authors":"Onailis Oramas Santos, L. Canós-Darós, E. Babiloni","doi":"10.4995/ijpme.2023.19135","DOIUrl":"https://doi.org/10.4995/ijpme.2023.19135","url":null,"abstract":"This paper analyzes the value chain approach in the red biotechnology sector from a bibliometric perspective, using Scopus and Web of Science databases from 2011 to 2021. As a result, 82 documents that cover this topic are analyzed with VOSviewer and R studio. The main findings show that scientific interest increases with a positive publication trend during the considered time period. However, there are no authorship networks in both database. Furthermore, the main reason to use the value chain approach in the red biotech sector is that it highlights the government’s implication on the industry, given its social impact. As a research gap, we recommend to study the effects of Industry 4.0 on the red biotech value chain approach.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47711995","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 : 2023-07-31DOI: 10.4995/ijpme.2023.19138
Miguel Angel Mateo Casalí, Francisco Fraile Gil, A. Boza, A. Nazarenko
The next evolutionary technological step in the industry presumes the automation of the elements found within a factory, which can be accomplished through the extensive introduction of automatons, computers and Internet of Things (IoT) components. All this seeks to streamline, improve, and increase production at the lowest possible cost and avoid any failure in the creation of the product, following a strategy called “Zero Defect Manufacturing”. Machine Learning Operations (MLOps) provide a ML-based solution to this challenge, promoting the automation of all product-relevant steps, from development to deployment. When integrating different machine learning models within manufacturing operations, it is necessary to understand what functionality is needed and what is expected. This article presents a maturity model that can help companies identify and map their current level of implementation of machine learning models.
{"title":"An industry maturity model for implementing Machine Learning operations in manufacturing","authors":"Miguel Angel Mateo Casalí, Francisco Fraile Gil, A. Boza, A. Nazarenko","doi":"10.4995/ijpme.2023.19138","DOIUrl":"https://doi.org/10.4995/ijpme.2023.19138","url":null,"abstract":"The next evolutionary technological step in the industry presumes the automation of the elements found within a factory, which can be accomplished through the extensive introduction of automatons, computers and Internet of Things (IoT) components. All this seeks to streamline, improve, and increase production at the lowest possible cost and avoid any failure in the creation of the product, following a strategy called “Zero Defect Manufacturing”. Machine Learning Operations (MLOps) provide a ML-based solution to this challenge, promoting the automation of all product-relevant steps, from development to deployment. When integrating different machine learning models within manufacturing operations, it is necessary to understand what functionality is needed and what is expected. This article presents a maturity model that can help companies identify and map their current level of implementation of machine learning models.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45786122","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 : 2023-06-08DOI: 10.4995/ijpme.2023.18233
Dwi Agustina, Kurniawati, Muhammad Arief Rochman
Two stages of halal food distribution model for perishable food products are a mixed integer linear program (MILP) model proposed to solve the distribution problem of halal food, especially for perishable food products. The model can simultaneously minimize overstock, shortage, transportation, and deterioration costs. The model is developed into two stages. The first stage is the location-allocation model to determine the halal cluster and the number of suppliers in each cluster. The second stage is the vehicle routing model to determine the routing at each cluster. Numerical experiments are done using CPLEX Solver and the proposed model is applied to solve a real case of halal meat distribution in Yogyakarta. The results show that the proposed model can be used as a decision tool for supply chain and distribution managers to determine the strategy for distributing halal food products with the least total logistics cost for daily application.
{"title":"Two stages of halal food distribution model for perishable food products","authors":"Dwi Agustina, Kurniawati, Muhammad Arief Rochman","doi":"10.4995/ijpme.2023.18233","DOIUrl":"https://doi.org/10.4995/ijpme.2023.18233","url":null,"abstract":"Two stages of halal food distribution model for perishable food products are a mixed integer linear program (MILP) model proposed to solve the distribution problem of halal food, especially for perishable food products. The model can simultaneously minimize overstock, shortage, transportation, and deterioration costs. The model is developed into two stages. The first stage is the location-allocation model to determine the halal cluster and the number of suppliers in each cluster. The second stage is the vehicle routing model to determine the routing at each cluster. Numerical experiments are done using CPLEX Solver and the proposed model is applied to solve a real case of halal meat distribution in Yogyakarta. The results show that the proposed model can be used as a decision tool for supply chain and distribution managers to determine the strategy for distributing halal food products with the least total logistics cost for daily application.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43245501","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 : 2023-06-07DOI: 10.4995/ijpme.2023.18442
M. Rodríguez-García, Ángel Ortiz Bas, J. C. Prado-Prado, A. Lyons
This study develops a framework that structures the operational costs of online grocery retailing in order to identify which is the most suitable e-fulfillment strategy. The cost framework was designed by applying time-driven activity-based costing (TDABC) and is based on the insights of two large European grocery retailers, which operate retail store and warehouse e-fulfillment strategies respectively. Cost information was collected, and activity-oriented process modeling was carried out in the field to identify the most relevant e-fulfillment cost drivers. For the retail store strategy, picking costs were the highest among e-fulfillment activities and up to twice as high as for the warehouse strategy. For the warehouse strategy, delivery costs were the highest and 50% higher than for the retail store strategy. Less studied logistics activities such as unpacking and reverse logistics all together accounted for up to one third of total expenses for both strategies. In omnichannel, operations and logistics managers must still ensure the profitability of the online channel if they want to succeed in the grocery business. This framework will help managers identify and estimate the most relevant cost drivers, and to allocate them to the main operational activities.
{"title":"Fulfillment costs in online grocery retailing: comparing retail store and warehouse strategies","authors":"M. Rodríguez-García, Ángel Ortiz Bas, J. C. Prado-Prado, A. Lyons","doi":"10.4995/ijpme.2023.18442","DOIUrl":"https://doi.org/10.4995/ijpme.2023.18442","url":null,"abstract":"This study develops a framework that structures the operational costs of online grocery retailing in order to identify which is the most suitable e-fulfillment strategy. The cost framework was designed by applying time-driven activity-based costing (TDABC) and is based on the insights of two large European grocery retailers, which operate retail store and warehouse e-fulfillment strategies respectively. Cost information was collected, and activity-oriented process modeling was carried out in the field to identify the most relevant e-fulfillment cost drivers. For the retail store strategy, picking costs were the highest among e-fulfillment activities and up to twice as high as for the warehouse strategy. For the warehouse strategy, delivery costs were the highest and 50% higher than for the retail store strategy. Less studied logistics activities such as unpacking and reverse logistics all together accounted for up to one third of total expenses for both strategies. In omnichannel, operations and logistics managers must still ensure the profitability of the online channel if they want to succeed in the grocery business. This framework will help managers identify and estimate the most relevant cost drivers, and to allocate them to the main operational activities.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46709121","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 : 2023-05-30DOI: 10.4995/ijpme.2023.18139
Seyed Mohamad Hamidzadeh, Mohsen Rezaei, M. Ranjbar-Bourani
In this paper, modelling of a three-level chaotic supply chain network. This model has the uncertainty of the retailer in the manufacturer. An adaptive neural fuzzy method has been proposed to synchronize the two chaotic supply chain networks. To train adaptive neural fuzzy controller, first, a nonlinear feedback control method is designed. Then, using Lyapanov theory, it is proved that the nonlinear feedback controller can reduce the synchronization error to zero in a finite time. The simulation results show that the proposed neural fuzzy controller architecture well controls the synchronization of the two chaotic supply chain networks. In the other part of the simulation, a comparison is made between the performance of the nonlinear controller and the adaptive neural fuzzy. Also, in the simulation results, the controller signal is depicted. This signal indicates that the cost of implementation in the real world is not high and is easily implemented.
{"title":"Chaos synchronization for a class of uncertain chaotic supply chain and its control by ANFIS","authors":"Seyed Mohamad Hamidzadeh, Mohsen Rezaei, M. Ranjbar-Bourani","doi":"10.4995/ijpme.2023.18139","DOIUrl":"https://doi.org/10.4995/ijpme.2023.18139","url":null,"abstract":"In this paper, modelling of a three-level chaotic supply chain network. This model has the uncertainty of the retailer in the manufacturer. An adaptive neural fuzzy method has been proposed to synchronize the two chaotic supply chain networks. To train adaptive neural fuzzy controller, first, a nonlinear feedback control method is designed. Then, using Lyapanov theory, it is proved that the nonlinear feedback controller can reduce the synchronization error to zero in a finite time. The simulation results show that the proposed neural fuzzy controller architecture well controls the synchronization of the two chaotic supply chain networks. In the other part of the simulation, a comparison is made between the performance of the nonlinear controller and the adaptive neural fuzzy. Also, in the simulation results, the controller signal is depicted. This signal indicates that the cost of implementation in the real world is not high and is easily implemented.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44034925","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 : 2023-01-31DOI: 10.4995/ijpme.2023.19006
Pablo Pérez-Gosende, J. Mula, Manuel Díaz-Madroñero
The purpose of this paper is to present a conceptual framework to facilitate academics and practitioners’ decision making related to multi-objective facility layout planning (mFLP) by employing a bottom-up approach. Based on a literature survey framed in the mFLP context, this work identified and discussed a set of criteria that have become limitations of the traditional top-down approach. These criteria served as the basis to conceive the proposed conceptual framework. Our conceptual framework formalises FLP as a multi-objective problem by following the two traditional planning phases (block- and detailed phase) in reverse by a bottom-up approach, and by also integrating a third phase, called the refined phase, which has not previously been contemplated in the literature. Apart from identifying the inputs and outputs of each phase, the conceptual framework groups together several objectives related to mFLP that have been recently considered in the literature and formalises and contextualises them according to the planning phase in which they are involved. This is the first time that mFLP is addressed with a bottom-up approach.
{"title":"A conceptual framework for multi-objective facility layout planning by a bottom-up approach","authors":"Pablo Pérez-Gosende, J. Mula, Manuel Díaz-Madroñero","doi":"10.4995/ijpme.2023.19006","DOIUrl":"https://doi.org/10.4995/ijpme.2023.19006","url":null,"abstract":"The purpose of this paper is to present a conceptual framework to facilitate academics and practitioners’ decision making related to multi-objective facility layout planning (mFLP) by employing a bottom-up approach. Based on a literature survey framed in the mFLP context, this work identified and discussed a set of criteria that have become limitations of the traditional top-down approach. These criteria served as the basis to conceive the proposed conceptual framework. Our conceptual framework formalises FLP as a multi-objective problem by following the two traditional planning phases (block- and detailed phase) in reverse by a bottom-up approach, and by also integrating a third phase, called the refined phase, which has not previously been contemplated in the literature. Apart from identifying the inputs and outputs of each phase, the conceptual framework groups together several objectives related to mFLP that have been recently considered in the literature and formalises and contextualises them according to the planning phase in which they are involved. This is the first time that mFLP is addressed with a bottom-up approach.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42403706","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 : 2023-01-31DOI: 10.4995/ijpme.2023.18702
Nikoletta E. Samaridi, N. Karanikolas, M. Papoutsidakis, E. Papakitsos, Christos E. Papakitsos
Nowadays, the business area cannot be sustainable and efficient without the presence of the Supply Chain. However, Supply Chain Management is by no means an easy task. Experts, in their effort to achieve the most efficient Supply Chain Management, have turned their attention to the management of knowledge related to supply chains. Thus, they model the concepts and the semantic relationships between them in Supply Chain Networks and create conceptual models and ontologies. In this paper, a survey of the existing ontologies in this field is carried out, with the aim of creating a new ontology of the Supply Chain that will unify its structural elements and lead to the integration of all supply systems. For this purpose, 22 ontological models from different supply systems, from over 90 sources, have been collected, briefly presented and commented on. These models, although being an intersection in the effort to model business operations and delineate a good basis for businesses to engage in Logistics processes, they lack an adequate formulation of appropriate semantics and terminology to describe all the different functions of the Supply Chain. Consequently, this lack inevitably leads to incompatible interpretations and uses of the knowledge that results from intercompany transactions.
{"title":"A survey on supply chain ontologies","authors":"Nikoletta E. Samaridi, N. Karanikolas, M. Papoutsidakis, E. Papakitsos, Christos E. Papakitsos","doi":"10.4995/ijpme.2023.18702","DOIUrl":"https://doi.org/10.4995/ijpme.2023.18702","url":null,"abstract":"Nowadays, the business area cannot be sustainable and efficient without the presence of the Supply Chain. However, Supply Chain Management is by no means an easy task. Experts, in their effort to achieve the most efficient Supply Chain Management, have turned their attention to the management of knowledge related to supply chains. Thus, they model the concepts and the semantic relationships between them in Supply Chain Networks and create conceptual models and ontologies. In this paper, a survey of the existing ontologies in this field is carried out, with the aim of creating a new ontology of the Supply Chain that will unify its structural elements and lead to the integration of all supply systems. For this purpose, 22 ontological models from different supply systems, from over 90 sources, have been collected, briefly presented and commented on. These models, although being an intersection in the effort to model business operations and delineate a good basis for businesses to engage in Logistics processes, they lack an adequate formulation of appropriate semantics and terminology to describe all the different functions of the Supply Chain. Consequently, this lack inevitably leads to incompatible interpretations and uses of the knowledge that results from intercompany transactions.","PeriodicalId":41823,"journal":{"name":"International Journal of Production Management and Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43645850","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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