{"title":"基于MCDM方法的物流中心可持续性评价","authors":"Nuh Keleş, Mehmet Pekkaya","doi":"10.1108/jamr-04-2022-0087","DOIUrl":null,"url":null,"abstract":"PurposeThe purpose of the study is the evaluation of choosing the determined logistics centers’ (LCs’) locations via Multi-Criteria Decision-Making (MCDM) methods.Design/methodology/approachSince there is more than one criterion in the evaluation of LC location, MCDM methods are used. The Entropy and CRiteria Importance Through Intercriteria Correlation (CRITIC) methods are used to determine the main criteria and sub-criteria weights. The Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method is used for ranking and evaluating 12 alternatives in Turkey and sensitivity analysis according to the threshold values of criteria and preference functions.FindingsPossible LC alternatives in Turkey and 12 locations ranked. Changing the criteria weights at a significant level did not affect the ranking results much. In the sensitivity analysis of the criteria for which market data could not be obtained (scored by the experts) it is found that they either made no difference or made little difference in the ranking of the alternatives.Practical implicationsIn terms of sustainability, economic factors along with environmental and social dimensions are important criteria for logistics companies and LC. The use of these variables in the LC location selection makes a difference.Originality/valueThis study focuses on LC location selection, via PROMETHEE with evaluated preference functions for criteria, taking into account nine scenarios that use variable criteria weight calculated via different MCDM methods. The results are evaluated by using sensitivity analysis and taking into account the sustainability aspect for LC. Multiple methods have been used effectively together in a way that support each other.","PeriodicalId":46158,"journal":{"name":"Journal of Advances in Management Research","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Evaluation of logistics centers in terms of sustainability via MCDM methods\",\"authors\":\"Nuh Keleş, Mehmet Pekkaya\",\"doi\":\"10.1108/jamr-04-2022-0087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThe purpose of the study is the evaluation of choosing the determined logistics centers’ (LCs’) locations via Multi-Criteria Decision-Making (MCDM) methods.Design/methodology/approachSince there is more than one criterion in the evaluation of LC location, MCDM methods are used. The Entropy and CRiteria Importance Through Intercriteria Correlation (CRITIC) methods are used to determine the main criteria and sub-criteria weights. The Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method is used for ranking and evaluating 12 alternatives in Turkey and sensitivity analysis according to the threshold values of criteria and preference functions.FindingsPossible LC alternatives in Turkey and 12 locations ranked. Changing the criteria weights at a significant level did not affect the ranking results much. In the sensitivity analysis of the criteria for which market data could not be obtained (scored by the experts) it is found that they either made no difference or made little difference in the ranking of the alternatives.Practical implicationsIn terms of sustainability, economic factors along with environmental and social dimensions are important criteria for logistics companies and LC. The use of these variables in the LC location selection makes a difference.Originality/valueThis study focuses on LC location selection, via PROMETHEE with evaluated preference functions for criteria, taking into account nine scenarios that use variable criteria weight calculated via different MCDM methods. The results are evaluated by using sensitivity analysis and taking into account the sustainability aspect for LC. 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引用次数: 1
摘要
本研究的目的是利用多准则决策(MCDM)方法对选定的物流中心(lc)选址进行评价。设计/方法论/方法由于在LC位置的评估中有多个标准,因此使用MCDM方法。采用熵和标准间关联重要性(critical)方法确定主标准和子标准的权重。采用PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation)方法,根据标准和偏好函数的阈值,对土耳其的12个备选方案进行排序和评价,并进行敏感性分析。在土耳其和12个地点寻找可能的LC替代品。在显著水平上改变标准权重不会对排名结果产生太大影响。在对无法获得市场数据的标准进行敏感性分析(由专家评分)时,发现它们在替代方案的排名中要么没有差异,要么差异很小。在可持续性方面,经济因素以及环境和社会维度是物流公司和LC的重要标准。在LC位置选择中使用这些变量会产生影响。原创性/价值本研究的重点是LC位置选择,通过PROMETHEE对标准进行评估偏好函数,考虑到使用不同MCDM方法计算的可变标准权重的九种情况。结果通过使用敏感性分析和考虑到LC的可持续性方面进行评估。多种方法以一种相互支持的方式有效地结合使用。
Evaluation of logistics centers in terms of sustainability via MCDM methods
PurposeThe purpose of the study is the evaluation of choosing the determined logistics centers’ (LCs’) locations via Multi-Criteria Decision-Making (MCDM) methods.Design/methodology/approachSince there is more than one criterion in the evaluation of LC location, MCDM methods are used. The Entropy and CRiteria Importance Through Intercriteria Correlation (CRITIC) methods are used to determine the main criteria and sub-criteria weights. The Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method is used for ranking and evaluating 12 alternatives in Turkey and sensitivity analysis according to the threshold values of criteria and preference functions.FindingsPossible LC alternatives in Turkey and 12 locations ranked. Changing the criteria weights at a significant level did not affect the ranking results much. In the sensitivity analysis of the criteria for which market data could not be obtained (scored by the experts) it is found that they either made no difference or made little difference in the ranking of the alternatives.Practical implicationsIn terms of sustainability, economic factors along with environmental and social dimensions are important criteria for logistics companies and LC. The use of these variables in the LC location selection makes a difference.Originality/valueThis study focuses on LC location selection, via PROMETHEE with evaluated preference functions for criteria, taking into account nine scenarios that use variable criteria weight calculated via different MCDM methods. The results are evaluated by using sensitivity analysis and taking into account the sustainability aspect for LC. Multiple methods have been used effectively together in a way that support each other.