{"title":"Genetic based algorithms to solving multi-quays berth allocation problem with setup time constraints","authors":"Chatnugrob Sangsawang, Cholthida Longploypad","doi":"10.17270/j.log.2022.786","DOIUrl":"https://doi.org/10.17270/j.log.2022.786","url":null,"abstract":"","PeriodicalId":44682,"journal":{"name":"LogForum","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91374927","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}
{"title":"An Analytical Hierarchy Process-based decision making for sustainable medical devices development","authors":"D. Kritchanchai, S. N. Wahab, A. Tan, Taisy Mak","doi":"10.17270/j.log.2022.768","DOIUrl":"https://doi.org/10.17270/j.log.2022.768","url":null,"abstract":"","PeriodicalId":44682,"journal":{"name":"LogForum","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91076886","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}
. Background: The study focuses on simplified make-and-pack production in the sugar industry as a case study. The analyzed system is characterized by parallel packing lines, which share one resource with a sequence-independent setup time. Additionally, the special characteristics that occur in many enterprises make scheduling difficult. The special characteristics of the system are the simultaneous occurrence of a variable input stream, scheduling of processes, and including the reliability of machines. Due to the variability of the input parameters, it is appropriate to consider the use of Digital Twin, which is a virtual representation of the real processes' performance. Therefore, this purpose of the paper is two-fold. First, an analysis of sequence determination of the stream-splitting machine was performed with taking into account the impact of logistics system reliability on system performance. Second, the concept of implementing Digital Twin in the analyzed production process is presented. Methods: The mathematical model for line efficiency was developed on the presented make-and-pack production presented in the selected sugar industry. Different sequences of stream-splitting machines were studied to examine the system's efficiency, availability, and utilization of packaging lines. Two scenarios were investigated with the use of computer simulation. Results: Computer simulation experiments were performed to investigate the sequencing and planning of packaging line problems. The results obtained for the case company indicated a significant dependence between the preferred packing sequence and the operational parameters. Conclusions: The simulations confirm the influence of internal and external factors on sugar line packaging processes. The main advantage of the developed simulation model is identifying the relationship between the size of the input stream and the system's availability level, as well as identifying the main constraints on the possibility of implementing the DT concept in the analyzed company.
{"title":"Sequencing and planning of packaging lines with reliability and Digital Twin concept considerations – a case study of a sugar production plant","authors":"A. Dąbrowska, R. Giel, Klaudia Winiarska","doi":"10.17270/j.log.2022.762","DOIUrl":"https://doi.org/10.17270/j.log.2022.762","url":null,"abstract":". Background: The study focuses on simplified make-and-pack production in the sugar industry as a case study. The analyzed system is characterized by parallel packing lines, which share one resource with a sequence-independent setup time. Additionally, the special characteristics that occur in many enterprises make scheduling difficult. The special characteristics of the system are the simultaneous occurrence of a variable input stream, scheduling of processes, and including the reliability of machines. Due to the variability of the input parameters, it is appropriate to consider the use of Digital Twin, which is a virtual representation of the real processes' performance. Therefore, this purpose of the paper is two-fold. First, an analysis of sequence determination of the stream-splitting machine was performed with taking into account the impact of logistics system reliability on system performance. Second, the concept of implementing Digital Twin in the analyzed production process is presented. Methods: The mathematical model for line efficiency was developed on the presented make-and-pack production presented in the selected sugar industry. Different sequences of stream-splitting machines were studied to examine the system's efficiency, availability, and utilization of packaging lines. Two scenarios were investigated with the use of computer simulation. Results: Computer simulation experiments were performed to investigate the sequencing and planning of packaging line problems. The results obtained for the case company indicated a significant dependence between the preferred packing sequence and the operational parameters. Conclusions: The simulations confirm the influence of internal and external factors on sugar line packaging processes. The main advantage of the developed simulation model is identifying the relationship between the size of the input stream and the system's availability level, as well as identifying the main constraints on the possibility of implementing the DT concept in the analyzed company.","PeriodicalId":44682,"journal":{"name":"LogForum","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83499748","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}
. Background: The maritime port terminals, handling cargo and servicing maritime and land means of transport with variable intensity over time, operate as mass service systems where the process of notifying and fulfilling needs usually occur at random. The main research problem was to determine the interdependence between the mechanism of reporting and meeting the demand for terminal services and its effectiveness measured in terms of operational efficiency and profitability. Methods: The aim of research involves evaluating the terminal operational mechanism and evaluating it under operational categories, that is, operational stability and efficiency, and economic ones, i.e., effectiveness with respect to costs and revenue. To achieve the aim of research, the theory of mass service was applied, with the use of queuing theory as well as case study. The research was conducted in an example of bulk handling terminal, i.e. HES Gdynia Bulk Terminal. Results: In the article, the authors assumed that the bulk cargo handling terminal in Gdynia operates as a queueing model. Therefore, it was possible to analyse the operating mechanism of the selected port terminal as a logistics system and a link in the supply chain by characterising it in terms of technical and operational efficiency and economic and financial effectiveness. Conclusions: So far, such terminals have not the subject of this kind research, because researchers focused predominantly on seaports as composite multimodal transport nodes. The results of the conducted research confirm the previously formulated hypothesis, indicating that queueing theory can be used as an useful instrument to optimize the efficiency and effectiveness of bulk cargo terminals.
{"title":"Queueing theory as an instrument of optimization operational and economic sphere of port terminals - case study","authors":"A. Grzelakowski, A. Karas","doi":"10.17270/j.log.2022.745","DOIUrl":"https://doi.org/10.17270/j.log.2022.745","url":null,"abstract":". Background: The maritime port terminals, handling cargo and servicing maritime and land means of transport with variable intensity over time, operate as mass service systems where the process of notifying and fulfilling needs usually occur at random. The main research problem was to determine the interdependence between the mechanism of reporting and meeting the demand for terminal services and its effectiveness measured in terms of operational efficiency and profitability. Methods: The aim of research involves evaluating the terminal operational mechanism and evaluating it under operational categories, that is, operational stability and efficiency, and economic ones, i.e., effectiveness with respect to costs and revenue. To achieve the aim of research, the theory of mass service was applied, with the use of queuing theory as well as case study. The research was conducted in an example of bulk handling terminal, i.e. HES Gdynia Bulk Terminal. Results: In the article, the authors assumed that the bulk cargo handling terminal in Gdynia operates as a queueing model. Therefore, it was possible to analyse the operating mechanism of the selected port terminal as a logistics system and a link in the supply chain by characterising it in terms of technical and operational efficiency and economic and financial effectiveness. Conclusions: So far, such terminals have not the subject of this kind research, because researchers focused predominantly on seaports as composite multimodal transport nodes. The results of the conducted research confirm the previously formulated hypothesis, indicating that queueing theory can be used as an useful instrument to optimize the efficiency and effectiveness of bulk cargo terminals.","PeriodicalId":44682,"journal":{"name":"LogForum","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79546595","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}
. Backgrounds: The presented research deals with the investigation of how big data analytics can help predict possible disruptive events in supply chains. The supply chain can be considered a complex system with a wide spectrum of possible sources of internal and external disruptions. Since the individual entities of the supply chains operate in a particular environment and interact with this environment, there is a certain level of mutual interdependency. This set of interconnected interactions within the supply chain will be the unit of analysis. Methods: There are many internal and external sources of supply chain disruption, which opens up the potential application of Big Data Analysis (BDA) as an early warning tool. To analyse the possible application of the BDA to identify sources of supply chain disruptions, we conduct a bibliometric analysis to define an appropriate structure for supply chain risk classification as well as appropriate keywords that make data collection quicker and easier. The DOTMLPFI methodology was used to systematically identify the most relevant risks threatening the supply chains. Results: The proposed research approach creates a possible framework to support the operational sustainability and resilience of the supply chain as a system, toward internal and external disruptions. The research results also point out the most explored attributes of supply chain disruption. The conducted bibliometric research and content analysis support the theoretical framework of using BDA as a possible early warning tool, especially for the identification of possible sources of supply chain disruption. The approach of grouping Big Data sources into categories based on DOTMLPFI groups allows to identify the appropriate keywords for their later BDA analysis. The analytical framework provides a starting point for individual supply chain entities to understand risks and systematically collect the appropriate data in the required structure about them. Conclusion: The complexity of supply chains, together with the increasing possibility of digital applications, requires a new analytical framework for evaluating the overall supply chain, with the possible application of new data sources and analytical approaches regarding the risks threatening the chain. DOTMLPFI methodology allows covering all the relevant categories of supply chain risks, and by proposing relevant keywords and data sources it can help companies to find the appropriate open-source, up-to-date information and be prepared for disruptive events.
{"title":"Use of Big Data Analysis to identify possible sources of Supply Chain disruption through the DOTMLPFI method","authors":"J. Nagy, P. Foltin, V. Ondryhal","doi":"10.17270/j.log.2022.731","DOIUrl":"https://doi.org/10.17270/j.log.2022.731","url":null,"abstract":". Backgrounds: The presented research deals with the investigation of how big data analytics can help predict possible disruptive events in supply chains. The supply chain can be considered a complex system with a wide spectrum of possible sources of internal and external disruptions. Since the individual entities of the supply chains operate in a particular environment and interact with this environment, there is a certain level of mutual interdependency. This set of interconnected interactions within the supply chain will be the unit of analysis. Methods: There are many internal and external sources of supply chain disruption, which opens up the potential application of Big Data Analysis (BDA) as an early warning tool. To analyse the possible application of the BDA to identify sources of supply chain disruptions, we conduct a bibliometric analysis to define an appropriate structure for supply chain risk classification as well as appropriate keywords that make data collection quicker and easier. The DOTMLPFI methodology was used to systematically identify the most relevant risks threatening the supply chains. Results: The proposed research approach creates a possible framework to support the operational sustainability and resilience of the supply chain as a system, toward internal and external disruptions. The research results also point out the most explored attributes of supply chain disruption. The conducted bibliometric research and content analysis support the theoretical framework of using BDA as a possible early warning tool, especially for the identification of possible sources of supply chain disruption. The approach of grouping Big Data sources into categories based on DOTMLPFI groups allows to identify the appropriate keywords for their later BDA analysis. The analytical framework provides a starting point for individual supply chain entities to understand risks and systematically collect the appropriate data in the required structure about them. Conclusion: The complexity of supply chains, together with the increasing possibility of digital applications, requires a new analytical framework for evaluating the overall supply chain, with the possible application of new data sources and analytical approaches regarding the risks threatening the chain. DOTMLPFI methodology allows covering all the relevant categories of supply chain risks, and by proposing relevant keywords and data sources it can help companies to find the appropriate open-source, up-to-date information and be prepared for disruptive events.","PeriodicalId":44682,"journal":{"name":"LogForum","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84936333","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}
{"title":"The use of drones in mountain search and rescue (GOPR) in Poland – possibilities and limitations","authors":"R. Domański","doi":"10.17270/j.log.2022.754","DOIUrl":"https://doi.org/10.17270/j.log.2022.754","url":null,"abstract":"","PeriodicalId":44682,"journal":{"name":"LogForum","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81780448","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}
{"title":"The impact of blockchain technology on operational and strategic risks in the supply chain - a systematic literature review","authors":"Marek Krajka, P. Cyplik, Michał Adamczak","doi":"10.17270/j.log.2022.741","DOIUrl":"https://doi.org/10.17270/j.log.2022.741","url":null,"abstract":"","PeriodicalId":44682,"journal":{"name":"LogForum","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90930606","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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