Quantitative Methods in Logistics最新文献

METHODS FOR CROSS-NATIONAL PERFORMANCE EVALUATION IN LOGISTICS 物流跨国绩效评价方法

Quantitative Methods in Logistics Pub Date : 2020-04-06 DOI: 10.37528/ftte/9786673954196.002

Marijana Petrović, Nataša Bojković, V. Jeremic

{"title":"METHODS FOR CROSS-NATIONAL PERFORMANCE EVALUATION IN LOGISTICS","authors":"Marijana Petrović, Nataša Bojković, V. Jeremic","doi":"10.37528/ftte/9786673954196.002","DOIUrl":"https://doi.org/10.37528/ftte/9786673954196.002","url":null,"abstract":": The efficient movement of freight across countries is the backbone of world global trade. To keep track of gaps between national logistic systems, different approaches for comparison are developing. In this chapter, we provide a review of various monitoring tools with the focus to the Logistic Performance Index (LPI) developed by the World Bank, as the most known national measure. The need and possibility to improve an index-based approach for cross-national performance comparison is analyzed. We emphasize the functionality of LPI as a benchmarking tool and argue that in order to learn from more successful peers, comparability and similarity of countries needs to be entailed. Accordingly, we analyze the usability of two conceptually different approaches, one drawn from multi-criteria decision analysis and other grounded in statistics. Using a sample of OECD (Organization for Economic Cooperation and Development) countries, we explore the performance evaluation outputs of ELECTRE (ELimination Et Choix Traduisant la REalité; Elimination and Choice Corresponding to Reality) multi-level outranking (ELECTRE MLO) benchmarking approach and hierarchical clustering on the basis of Ward’s method. The results are discussed in relation to LPI ranking scores to show that alternative approaches can supplement to LPI results by giving more insight to policy-makers on how countries stand relative to each other.","PeriodicalId":326690,"journal":{"name":"Quantitative Methods in Logistics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132977369","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}

引用次数: 1

AN APPLICATION OF DEA TO MEASURE THE EFFICIENCY OF LEADING CARGO AIRLINES dea在主要货运航空公司效率评估中的应用

Quantitative Methods in Logistics Pub Date : 2020-04-06 DOI: 10.37528/ftte/9786673954196.006

Danica Babić, Slavica Dožić, M. Kalic

{"title":"AN APPLICATION OF DEA TO MEASURE THE EFFICIENCY OF LEADING CARGO AIRLINES","authors":"Danica Babić, Slavica Dožić, M. Kalic","doi":"10.37528/ftte/9786673954196.006","DOIUrl":"https://doi.org/10.37528/ftte/9786673954196.006","url":null,"abstract":"The air cargo industry is very important in the global economy, due to the fact that it is recognized as the main mode of transport for perishable goods, luxury goods, and other high value products. In order to survive in highly competitive market, cargo airlines must identify the needs of their customers and provide the appropriate services. The common measure that implies how much a firm can meet its predetermined goals is the efficiency. This paper provides the efficiency analysis of the 18 world leading cargo airlines in 2017. A Date Envelopment Analysis (DEA) models with three inputs and two outputs are created to assess and optimize the cargo airline productivity. In these models the efficieny indicators such as number of employee, number of aircraft and offered capacity are defined as inputs, while realized traffic and revenue are defined as outputs. The basic model was used to evaluate the efficiency of the selected cargo airlines and it provides satisfactory results. However, in order to improve these results and to evaluate the operation indicators which affect cargo airline efficiency and which are not in the same order of magnitude, the weighted DEA is proposed. The weights are derived by using Analytic Hierarchy Process (AHP). The results of the models include a benchmark and cargo airlines ranking, as well as the directions for improving the efficiency of inefficient airlines. Moreover, it is shown that the weighted DEA provides more logical results, since the relationship between the indicators is defined in accordance with their real significance. It should be noted that this is the first research where integrated AHP and DEA are used for assessing the efficiency in cargo airline industry. The high flexibility of the proposed models enables its application on different markets as well as on all types of airlines.","PeriodicalId":326690,"journal":{"name":"Quantitative Methods in Logistics","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133226774","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}

引用次数: 0

QUANTITATIVE METHODS FOR DETERMINING PREMIUM RATES IN TRANSPORTATION INSURANCE UNDER UNCERTAINTY 不确定条件下运输保险费率确定的定量方法

Quantitative Methods in Logistics Pub Date : 2020-04-06 DOI: 10.37528/ftte/9786673954196.007

Marija Paunović, Vladimir Gajović, N. Ralević

引用次数: 1

MANAGING RISKS IN LOGISTICS USING FMEA-DEA APPROACH 运用fmea-dea方法管理物流风险

Quantitative Methods in Logistics Pub Date : 2020-04-06 DOI: 10.37528/ftte/9786673954196.003

Milan Andrejić, M. Kilibarda, Vukašin Pajić

{"title":"MANAGING RISKS IN LOGISTICS USING FMEA-DEA APPROACH","authors":"Milan Andrejić, M. Kilibarda, Vukašin Pajić","doi":"10.37528/ftte/9786673954196.003","DOIUrl":"https://doi.org/10.37528/ftte/9786673954196.003","url":null,"abstract":": Modern logistics markets, characterized by complex structure and tough competition, are all exposed to various risks. These can cause different problems and disturbances. In recent years, increasing attention has been paid to managing risks in logistics. There are different systematizations of risks, as well as methods used for risk identification, analysis and evaluation. One of the most important and most frequently used methods is Failure Mode and Effects Analysis (FMEA) approach. Due to its simple application and usable results, the FMEA method has been widely used. However, this method also has some disadvantages. One of the most frequently mentioned in the literature is the calculation of Risk Priority Number (RPN). In this paper, for improving the RPN calculation for risks in different logistics processes, Data Envelopment Analysis (DEA) approach is proposed. The approach has been tested in two real examples. The first relates to 58 logistics risks in international commodity flows, while the second concerns risks for 37 activities in product distribution. In the first example, the most important risks are identified as congestion (border, customs offices, incomplete documentation, wrong addresses (loading/unloading), etc.) In the distribution process, the risks with dominant priority are delay in transportation process, goods control (low quality, short expiration date) and order-picking process (goods extraction and putting on pallets). According to the results, the proposed approach has great applicability for managing risks in logistics.","PeriodicalId":326690,"journal":{"name":"Quantitative Methods in Logistics","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122093081","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}

引用次数: 1

OPTIMIZATION METHODS AND HEURISTICS AND THEIR ROLE IN SUPPLY CHAINS AND LOGISTICS 优化方法和启发式及其在供应链和物流中的作用

Quantitative Methods in Logistics Pub Date : 2020-04-06 DOI: 10.37528/ftte/9786673954196.008

Dejan Dragan, T. Kramberger, Vladimir Popović

引用次数: 0

DEFINING THE TYPICAL STRUCTURES OF THE INTERMODAL TERMINALS 确定多式联运码头的典型结构

Quantitative Methods in Logistics Pub Date : 2020-04-06 DOI: 10.37528/ftte/9786673954196.004

Snežana Tadić, Mladen Krstić, S. Zečević

{"title":"DEFINING THE TYPICAL STRUCTURES OF THE INTERMODAL TERMINALS","authors":"Snežana Tadić, Mladen Krstić, S. Zečević","doi":"10.37528/ftte/9786673954196.004","DOIUrl":"https://doi.org/10.37528/ftte/9786673954196.004","url":null,"abstract":"Intermodal transport enables energy, costs and time savings, improves the quality of services and supports sustainable development. The basic element of the intermodal transport system is the intermodal terminal (IT) whose efficiency largely depends on its' structure defined by a combination of different characteristics and modalities of elements, such as the structure of functions and services, sub-system technologies, size, location, layout, etc. Accordingly, the subject of this paper is the development of a methodology for defining typical IT structures based on a wide range of structural elements and factors that affect elements and define their significance. The methodology also included the multi-criteria decision-making (MCDM) model that combines the fuzzy Delphi method, used for evaluating the strength of the factor's influence on the elements, and the fuzzy VIKOR (VišeKriterijumska Optimizacija i kompromisno Rešenje, srb) method, used for ranking and selecting the key elements for defining the IT structure. The aim of this paper was to identify typical IT structures as a prerequisite for their further analysis and selection of those that would represent benchmarks for other terminals with mutually comparable characteristics. The following are identified as the key elements for defining the IT structure: modes of transport connecting the IT, place and role of the IT in the network/chain, size of the IT and the structure of the functions and services that IT performs. Based on the possible combinations of their modalities and research which included over 180 real-life ITs in Europe, 36 typical IT structures are defined.","PeriodicalId":326690,"journal":{"name":"Quantitative Methods in Logistics","volume":"37 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123180454","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}

引用次数: 3

A VARIABLE NEIGHBORHOOD SEARCH METAHEURISTIC IN SOLVING THE VEHICLE ROUTING PROBLEMS: LOGISTICS CASE EXAMPLES 一种求解车辆路径问题的可变邻域搜索元启发式算法:物流实例

Quantitative Methods in Logistics Pub Date : 2020-04-06 DOI: 10.37528/ftte/9786673954196.010

D. Popović, N. Bijelić, Milorad Vidovic, G. Radivojević

引用次数: 0