scholarly journals Coronavirus Disease Outbreak and the Supply Chain of Selected Small and Medium Manufacturing Enterprises in Kenya

Author(s):  
Evans T. Mwasiaji ◽  
Ambrose O. Jagongo ◽  
James O. Ogutu
2021 ◽  
pp. 1-13
Author(s):  
Congdong Li ◽  
Yinyun Yu ◽  
Wei Xu ◽  
Jianzhu Sun

In order to better meet customer needs and respond to market demands more quickly, mounting number of manufacturing companies have begun to bid farewell to the traditional unitary manufacturing model. The collaborative manufacturing model has become a widely adopted manufacturing model for manufacturing companies. Aiming at the problem of partner selection for collaborative manufacturing of complex products in a collaborative supply chain environment, this paper proposes a multi-objective decision-making model that comprehensively considers the maximization of the matching degree of manufacturing capacity and the profits of supply chain, and gives the modeling process and application steps in detail. The method first uses fuzzy theory to evaluate the manufacturing capabilities of candidate collaborative manufacturing partners. Secondly, Vector Space Model (VSM) is used to calculate the matching degree of manufacturing capacity and manufacturing demand. Then, the paper studied the profit of the supply chain under the “non-cooperative” mechanism and the “revenue sharing” mechanism. Furthermore, the decision-making model is established. Finally, a simulation was carried out by taking complex product manufacturing of Gree enterprise as an example. The research results show the feasibility and effectiveness of the method.


2013 ◽  
Vol 671-674 ◽  
pp. 3049-3054
Author(s):  
Cao Qian ◽  
Xi Jian Quan ◽  
Yu Yan Wang

On the basis of investigation and research, we firstly determined factors that impact manufacturing enterprises to implement green supply chain. Then, based on data of Parts of manufacturing enterprises in Shandong Province implementing green supply chain, the influencing factors of manufacturing enterprises implementing green supply chain is analyzed by factor analysis. The conclusion show that the influencing factors mainly concentrates in seven aspects that is raw material purchase, the enterprise internal management, the worn recycling, the product design, the enterprise prestige, the enterprise energy consumption, the reject processes.


Modelling ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 94-121
Author(s):  
Gregory Zacharewicz ◽  
Nicolas Daclin ◽  
Guy Doumeingts ◽  
Hezam Haidar

To keep up to date, manufacturing enterprises need to use the latest results from the ICT sector, especially when collaborating with external partners in a supply chain and exchanging products and data. This has led to dealing with an increasing amount of heterogeneous information exchanged between partners including machines (physical means), humans and IT in the Supply Chain of ICT Systems (SC-ICTS). In this context, interoperability management is becoming more and more critical, but paradoxically, it is not yet fully efficiently anticipated, controlled and accompanied to recover from incompatibilities issues or failures. This paper intends to present how enterprise modeling, enterprise interoperability and model driven approaches can lead, together with system engineering architecture, to contribute to developing and improving the interoperability in the SC-ICTs. Model Driven System Engineering Architecture (MDSEA) is based on Enterprise Modeling using GRAI Model and its extensions. It gives enterprise internal developments guidelines, but originally, MDSEA is not the considering interoperability that is required between partners when setting a collaboration in the frame of SC-ICTS. As a result, the MDSEA, extended with interoperability concerns, led to the design of the MDISE (Model Driven Interoperability System Engineering) framework, which capitalizes on the research on enterprise interoperability. To finish, some proposals are made to extend the Model System Tool Box (MSTB) and the use of MDISE for Cyber Physical System (CPS) that are relevant components of SC-ICTS.


2014 ◽  
Vol 644-650 ◽  
pp. 5699-5702
Author(s):  
Li Fang Zhang

Against the backdrop of market economy, the number of monopoly enterprises is decreasing. More and more enterprises inevitably have to be faced with the threats from their competitors and alternative products. Competition in a great many fields has entered a drastic phase, which makes a growing number of enterprises be aware of the fact that competition between all enterprises is just part of sustainable development and supply chain is definitely the secret of success for enterprises.Process of Simulation.Research of simulation usually involves the following aspects.Understand the system (2)Confirm the aim (3)Make a model with normative forms (4)Realize the model with computer language or software (5)Test whether the computer language truly demonstrates the notion of the model (6)Experiment design (7)Simulation experiment operation (8) Explore the essence (9)Put up a text for the work finished


Author(s):  
Do Hoai Linh ◽  

The study explores the main drivers that affecting the level of participation in green supply chain management of Vietnamese electronics manufacturing enterprises. The research team divided into two groups of factors, which are internal and external pressures. With primary data obtained from 544 electronics manufacturing enterprises in the Red River Delta and Southeast regions of Vietnam, the team applied two modeling software, SPSS 26.0 and AMOS 25.0. Combined with secondary data, the research team found that business type, size, environmental regulations, market pressures, and efficiency-oriented motivations all affect the level of management involvement. green supply chain. Since then, the research team has developed recommendations based on these groups of variables with the goal of promoting the participation of enterprises in the green supply chain management model.


2020 ◽  
Vol 143 (2) ◽  
Author(s):  
Lin Guo ◽  
Suhao Chen ◽  
Janet K. Allen ◽  
Farrokh Mistree

Abstract In the age of Industry 4.0, manufacturing enterprises are under pressure to improve mass customization to satisfy evolving demands in different markets. One challenge is to fulfill orders swiftly at an acceptable cost, while maintaining service quality. To do this, the customer-order decoupling point (CODP), where value-adding activities take place, should be designed and adapted to changing market demands. We propose a formulation-exploration framework to make decisions on customer-order decoupling point positioning and improve the supply chain to support mass customization. A test problem of auto parts manufacturing is used to illustrate the efficacy of our framework. The formulation-exploration framework can be used to design a supply chain to facilitate the mass customization of products, especially when information is incomplete and inaccurate (including uncertainties), and goals conflict with each other. In this paper, we focus on the method embodied in the framework rather than the results per se.


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