scholarly journals Logistics Informatization of Industrial Enterprises Based on Big Data and Its Application in Industrial Supply Chain Management

CONVERTER ◽  
2021 ◽  
pp. 693-701
Author(s):  
Ke Wang
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Fuzzy Evaluation ◽  
Digital Information ◽  
Chain Management ◽  
Industrial Enterprises

In the current digital information age, logistics is no longer the isolated transportation and storage of enterprises, nor is it the appendage of enterprise production and sales. This paper studies the logistics informatization of industrial enterprises and its application in industrial supply chain management under the background of big data. By analyzing the formation mechanism and covering modules of logistics informatization, this paper constructs the evaluation index system of logistics enterprise informatization. Based on the fuzzy evaluation method and the specific data of logistics information modernization of Chinese enterprises, this paper gives an application example of the evaluation model. Finally, this paper puts forward a reasonable analysis of the information construction of China's logistics enterprises in the future. The results show that this method can improve the efficiency of logistics informatization and supply chain management of industrial enterprises, and has certain reference significance for the research of logistics intelligence of industrial enterprises.

Sustainable supply chain management

2015 ◽  
Vol 115 (3) ◽  
pp. 436-461 ◽  
Author(s):  
MingLang Tseng ◽  
Ming Lim ◽  
Wai Peng Wong
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Balanced Scorecard ◽  
Evaluation Model ◽  
Corporate Sustainability ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management ◽  
Fuzzy Delphi

Purpose – Assessing a measure of sustainable supply chain management (SSCM) performance is currently a key challenge. The literature on SSCM is very limited and performance measures need to have a systematic framework. The recently developed balanced scorecard (BSC) is a measurement system that requires a balanced set of financial and non-financial measures. The purpose of this paper is to evaluate the SSCM performance based on four aspects i.e. sustainability, internal operations, learning and growth, and stakeholder. Design/methodology/approach – This paper developed a BSC hierarchical network for SSCM in a close-loop hierarchical structure. A generalized quantitative evaluation model based on the Fuzzy Delphi Method (FDM) and Analytical Network Process (ANP) were then used to consider both the interdependence among measures and the fuzziness of subjective measures in SSCM. Findings – The results of this study indicate that the top-ranking aspect to consider is that of stakeholders, and the top five criteria are green design, corporate sustainability, strategic planning for environmental management, supplier cost-saving initiatives and market share. Originality/value – The main contributions of this study are twofold. First, this paper provides valuable support for supply chain stakeholders regarding the nature of network hierarchical relations with qualitative and quantitative scales. Second, this paper improves practical performance and enhances management effectiveness for SSCM.

Big Data Analytics in the Agribusiness Supply Chain Management

2021 ◽  
Vol 9 (3) ◽  
pp. 32-42
Author(s):  
Marisol Valencia-Cárdenas ◽  
Jorge Anibal Restrepo-Morales ◽  
Francisco Javier Día-Serna
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Equation Model ◽  
Inventory Management ◽  
Latent Variables ◽  
Structural Equation ◽  
Big Data Analytics ◽  
Equation Model ◽  
Chain Management

Importance and impact of the systems related to Agribusiness and Agri-food, are increasing around the world and demand a paramount attention. Collaboration in the inventory management is an integral part of the supply chain management, related to proactive integration among the chain actors facilitating production and supply, in especial in the agroindustrial sector of the Departamento de Antioquia, Colombia. This research establishes the main relationships between latent variables as collaboration, technology, models, optimization and inventory management, based on a literature review and applying a Structural Equation Model to a survey data of a sample of agribusiness companies. The results show that Available Technologies associated with Big Data, generates improvement of Collaboration Strategies, improving also Forecasting and Optimization; besides, Inventory Planning and Collaboration are related to Available Technologies associated with Big Data. A Poisson regression model and a Structural Equation Model estimations detect that the increasing strategies of technologies and Big Data are favorable to apply collaboration in the supply chain management, increasing possibilities to the enterprise competitiveness.

scholarly journals BENEFITS ASSESSMENT OF TRAINING ON SUPPLY CHAIN MANAGEMENT

2015 ◽  
Vol 7 (2) ◽  
Author(s):  
Claudemir L. Tramarico ◽  
Fernando A. S. Marins ◽  
Ligia M. S. Urbina ◽  
Valerio A. P. Salomon
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Inventory Management ◽  
Operations Management ◽  
Evaluation Model ◽  
Core Competencies ◽  
Critical Factor ◽  
Organizational Capability ◽  
Chain Management ◽  
Chemical Company

<p>Supply chain management (SCM) is a critical factor in the current global scenario. This organizational capability has a recent knowledge base, which is being accumulated, validated, and certified by groups like the Association for Operations Management (APICS). Therefore, training in SCM has been growing as one of the most convenient ways of becoming “Certified in Production and Inventory Management” (CPIM) from APICS. Companies all over the world have invested in SCM training; however, some companies have conditioned the continuity of their training programs to the benefits assessment. This paper contributes by proposing an evaluation model for specific program training on SCM. This model was applied in a global chemical company, which allowed capturing its impact on organizational and individual competencies, as well as on the core competencies. The proposed model includes the Analytic Hierarchy Process (AHP) and concepts in the SCM literature. The main result revealed by this research is that an SCM training based on APICS CPIM is really perceived as beneficial, in individual or organizational terms, for a real-world company. Therefore, this company should be confident that its SCM training program is improving and strengthening its core competencies.</p>

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