A Study of Inventory Management in Supply Chain under the Environment of Internet of Things

2014 ◽  
Vol 556-562 ◽  
pp. 6673-6676 ◽  
Author(s):  
Jia Tang

Since the 1960s, the competition between enterprises has been replaced by the competition between supply chains because of rapid economic development. For the purpose of enhancing the competitiveness of supply chain by improving the level of supply chain management, the resources of enterprises in supply chain should be integrated and optimized, and then managed uniformly. Inventory management is the most important part of supply chain management. The inventory models what we are using have many limitations. The effectiveness of implementation often depends on the accuracy of the accuracy of “market demand forecast”. In order to reduce the reliance on “market demand forecast” accuracy to improve the efficiency of supply chain inventory management, we need to have further research on this theory by used of Internet of things to explore right model.

2021 ◽  
Vol 9 (3) ◽  
pp. 32-42
Author(s):  
Marisol Valencia-Cárdenas ◽  
Jorge Anibal Restrepo-Morales ◽  
Francisco Javier Día-Serna

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.


Author(s):  
Claudemir L. Tramarico ◽  
Fernando A. S. Marins ◽  
Ligia M. S. Urbina ◽  
Valerio A. P. Salomon

<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>


2018 ◽  
pp. 1181-1207 ◽  
Author(s):  
Rajwinder Singh ◽  
H.S. Sandhu ◽  
B.A. Metri ◽  
Rajinder Kaur

Supply chain is the process of continuous flow of products or services from source to the destination. Supply chain management has become an effective tool now a day to survive in this competitive world. Organizations do their best to harvest profits by adopting better supply chain management practices for competitive advantage and organizational performance. In this paper an attempt has been made to understand the relationship among supply chain practices, competitive advantage, and organizational performance using structural equation modelling. This research conceptualizes and develops five secondary dimensions of supply chain practices (Use of technology, SC speed, Customer satisfaction, SC integration, and Inventory management). The research also identifies four primary competitive advantage components (Inventory management, Customer satisfaction, Profitability, and Customer base identification) and six primary organizational performance components (Financial Performance, Market performance, SC competencies, Customer satisfaction, Stakeholder satisfaction, and Innovation and learning). The data for analysis was collected from top 10 non-livestock organized retail players operating in Punjab, Haryana, Chandigarh, New Delhi and, Gurgaon in India. The relationships in the proposed framework were tested using structural equation modelling. The results indicate that Indian retailers know that competitive advantage has high impact on SCP but they have less understanding in matching SCP and competitive advantage with organizational performance.


2018 ◽  
pp. 871-897
Author(s):  
Rajwinder Singh ◽  
H.S. Sandhu ◽  
B.A. Metri ◽  
Rajinder Kaur

Supply chain is the process of continuous flow of products or services from source to the destination. Supply chain management has become an effective tool now a day to survive in this competitive world. Organizations do their best to harvest profits by adopting better supply chain management practices for competitive advantage and organizational performance. In this paper an attempt has been made to understand the relationship among supply chain practices, competitive advantage, and organizational performance using structural equation modelling. This research conceptualizes and develops five secondary dimensions of supply chain practices (Use of technology, SC speed, Customer satisfaction, SC integration, and Inventory management). The research also identifies four primary competitive advantage components (Inventory management, Customer satisfaction, Profitability, and Customer base identification) and six primary organizational performance components (Financial Performance, Market performance, SC competencies, Customer satisfaction, Stakeholder satisfaction, and Innovation and learning). The data for analysis was collected from top 10 non-livestock organized retail players operating in Punjab, Haryana, Chandigarh, New Delhi and, Gurgaon in India. The relationships in the proposed framework were tested using structural equation modelling. The results indicate that Indian retailers know that competitive advantage has high impact on SCP but they have less understanding in matching SCP and competitive advantage with organizational performance.


Author(s):  
Umar Ruhi ◽  
Ofir Turel

In recent years, the prospect of information exchange independent of time and place has been a compelling driver for organizations worldwide to adopt mobile technology applications in their various business practices. In particular, the application of mobile technology in Supply Chain Management has drawn widespread attention from researchers and practitioners who endorse adaptive and agile supply chain processes. This chapter discusses the applications of mobile technologies in various areas of supply chain management and the potential benefits of those technologies along the dimensions of reduced replenishment time and transactions and billing cycles. Among other discussions, the role of mobile procurement, inventory management, product identification, package tracking, sales force, and field service automation technologies is highlighted. To substantiate the basis for adopting mobile technologies for supplychain management, different market drivers for mobile applications are exemplified and applied to the three macro-level processes of supplier relationship management, internal supply chain management, and customer relationship management; a resulting typology of mobile supply chain management applications is presented.


Author(s):  
Hanns-Christian L. Hanebeck

Supply chain management is a fairly new creature and one that has evolved out of a variety of different enterprise functions over the past two decades. Traditionally, the majority of activities within supply chain management were related to the physical transport of goods from one point to another. Today, we understand supply chain management to include a broader range of activities such as demand planning, purchasing, warehousing, and transportation at the very least. Many authors will also throw production, product, and package design as well as marketing into the definition (Dornier et al., 1998; Schary & Skjøtt-Larsen, 2001; Taylor, 1997; Gourdin, 2001). For the context of this article, we refer to supply chain management as activities that are related to the planning and fulfillment of market demand. All of the activities within supply chain management can be performed by one or more than one legal entity. We further understand supply chain management as a business process rather than a function or department within a given company. Figure 1 below illustrates the set of core and potential activities as well as supporting ones such as process, performance, and information management.


2019 ◽  
Vol 50 (4) ◽  
pp. 461-482 ◽  
Author(s):  
Patra Shovityakool ◽  
Piyachat Jittam ◽  
Namkang Sriwattanarothai ◽  
Parames Laosinchai

Background. Educational games are widely used in business classes in general, and supply chain management (SCM) classes in particular. These games are designed to familiarize students with the real business world. Most SCM games are ready-made, with pre-set learning objectives focusing on a certain module in a supply chain. Intervention. This article presents the new spreadsheet-based Flexible Supply Chain Management Game (FSCMG) and the findings of its pilot study. FSCMG’s features are transparent to instructors and students alike. It is easily modifiable to suit an instructor’s learning objectives. Method. Six groups of undergraduate students took turns playing three modules, namely a wholesaler, manufacturer, and supplier. There were two groups per module to represent two supply chains. The students’ spreadsheets are analyzed and presented. Results. Students’ spreadsheets revealed that they were able to employ SCM conceptual understanding in FSCMG, particularly pricing strategy, inventory management, forecasting, and the relationships within a supply chain. Conclusion. FSCGM helped the students apply their in-class knowledge in a real-world situation and be well prepared for their future careers where an extensive understanding is required.


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