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  • 1
    ISBN: 9783031431814
    Language: English
    Pages: 1 Online-Ressource(XIV, 180 p. 32 illus., 29 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 138
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Relationship between DEA models without explicit inputs and DEA-R models -- Finding efficient surfaces in DEA-R models -- Cost and revenue efficiency in DEA-R models -- A Novel Slack-Based Model for Efficiency and Super-efficiency in DEA-R -- A Multi-Criteria Ratio-Based Approach for Two-Stage Data Envelopment Analysis -- A novel network DEA-R model for evaluating hospital services supply chain performance -- A novel inverse DEA-R model for inputs/output estimation -- Evaluation of Two-Stage Networks based on Average Efficiency Using DEA and DEA-R with Fuzzy Data -- Stochastic network DEA-R models for two-stage systems.
    Abstract: The combination of DEA and ratio analysis is introduced as a suitable field for evaluating the performance of DMUs. In this regard, DEA-R is also proposed as a hybrid technique for calculating efficiency, ranking DMUs, and finding efficient faces. Therefore, the relationship between DEA and DEA-R provides a suitable field for researchers in the field of evaluating the performance of DMUs. The audience of this book is not limited to researchers in mathematics fields, but experts and students in industrial engineering and management fields also benefit from the topics of this book.
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  • 2
    ISBN: 9783031282478
    Language: English
    Pages: 1 Online-Ressource(XIV, 442 p. 89 illus., 50 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 122
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Business logistics. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: Supply Chain Management -- Performance Evaluation of Supply Chain Management -- Main models and approaches in supply chain evaluation -- Supplier Performance Evaluation Models -- Examining supply chain crises and disruptions -- Data Envelopment Analysis -- Supplier selection.
    Abstract: The authors of this book tried to make these experiences available to those interested, considering the experience of several years of training, research, and implementation of projects in the supply chain performance evaluation field. This book intends to identify the current performance and competitive position of that supply chain compared to other supply chains by presenting and reviewing the techniques and models for measuring the efficiency and performance of the supply chain. Determining the performance of a supply chain is a good description of the status quo (what is). Determining the performance of a supply chain is useful for describing the past and present of supply chain processes, and on the other hand, it can be used to set performance goals and initiate the improvement process. To realize this, a strategic framework or model is needed to be able to extract indicators related to the efficiency of the supply chain and design the appropriate model. .
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