1.

Record Nr.

UNINA9910720057803321

Autore

Hosseinzadeh Lotfi Farhad

Titolo

Supply Chain Performance Evaluation : Application of Data Envelopment Analysis / / by Farhad Hosseinzadeh Lotfi, Tofigh Allahviranloo, Morteza Shafiee, Hilda Saleh

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023

ISBN

9783031282478

9783031282461

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (453 pages)

Collana

Studies in Big Data, , 2197-6511 ; ; 122

Disciplina

658.5036

Soggetti

Engineering - Data processing

Business logistics

Computational intelligence

Big data

Data Engineering

Supply Chain Management

Computational Intelligence

Big Data

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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.

Sommario/riassunto

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. .