Production and raw material ordering management for a manufacturing supply chain with uncertainties

2011 ◽  
Author(s):  
Wei Xu ◽  
Dongping Song ◽  
Michael Roe
Keyword(s):  
Supply Chain ◽  
Raw Material ◽  
Manufacturing Supply Chain ◽  
Material Ordering

Performance improvement of manufacturing supply chain using back-up supply strategy

2015 ◽  
Vol 22 (3) ◽  
pp. 446-464 ◽  
Author(s):  
Sanjita Jaipuria ◽  
S. S. Mahapatra
Keyword(s):  
Adverse Effect ◽  
Supply Chain ◽  
Manufacturing System ◽  
Simulation Modelling ◽  
Service Level ◽  
Raw Material ◽  
Supply Uncertainty ◽  
Content Type ◽  
Machine Failure ◽  
Manufacturing Supply Chain

Purpose – The purpose of this paper is to provide a simulation modelling framework to examine the behaviour of a serial make-to-stock (MTS) manufacturing system under the influence of various uncertainties. Further, the study analyses effect of propagation uncertainties from lower to upper stream of supply chain. Design/methodology/approach – System dynamics modelling approach has been adopted for modelling and analysing the behaviour of a serial MTS manufacturing system under the influence of different uncertainties such as demand, supplier acquisition rate, raw material (RM) supply lead time, processing time and delay due to machine failure. The backup supply strategy has been proposed to mitigate the adverse effect of the RM supply uncertainty. Findings – The effect of variations of various factors on the performance of a MTS manufacturing supply chain in measured through various performance measures like work-in-progress (WIP) inventory, backlog and RM shortage at both manufacturer’s and supplier’s end. The benefit of adopting backup supply strategy under RM supply uncertainty is demonstrated. Research limitations/implications – This work is limited to analysis of a serial MTS manufacturing system dealing with a single product having two machines only. The study can be easily extended to a more complex system with multiple machines, lines and products. Practical implications – A simple simulation framework has been proposed to analyse the effect of various uncertainties on the performance of a MTS manufacturing system. The managers can simulate complex systems using simulation approaches to generate if-then scenarios to gain insight into practical problems and formulate strategies to mitigate adverse effect of uncertainties at various level of supply chain. Originality/value – The study analyses behaviour of MTS manufacturing system under the effect of various uncertainties operating simultaneously in the system. A backup supplier strategy is proposed to improve the service level at the customer’s end through improving service level at the supplier’s end. Similarly, effective strategies can be tested with the proposed simple model to reduce the effect of uncertainty at different levels of the supply chain.

Research on the influence of relation embeddedness on innovation performance of manufacturing supply chain alliances using expert fuzzy rule –intermediary role of shared mental model

2021 ◽  
pp. 1-8
Author(s):  
Guo Lifang ◽  
Cui Yuwen ◽  
Wu Yamin ◽  
Ma Jiaqi
Keyword(s):  
Supply Chain ◽  
Mental Model ◽  
Fuzzy Rule ◽  
Innovation Performance ◽  
Market Demand ◽  
Shared Mental Model ◽  
Rule Based System ◽  
Manufacturing Supply Chain ◽  
Intermediary Role

The innovation and development of manufacturing supply chain alliance is an important way for enterprises to meet the increasing market demand and maintain the competitive advantage. From the perspective of embeddedness, the research model of relation embeddedness on innovation performance of manufacturing supply chain was constructed based on AMOS. Shared mental model was selected as intermediary variable to study the influence of relation embeddedness, shared mental model and innovation performance of manufacturing supply chain alliances. Expert fuzzy rule based system is utilized for measuring the performance of manufacturing supply chain alliances. The conclusion shows that relation embeddedness is significantly positive shared mental model and innovation performance. Shared mental model is positively affects alliance innovation performance and plays a part of intermediary role between relational embedding and alliance innovation performance. Practice implicates that enhance the level of relation embeddedness can promote the formation of shared mental model and improve the innovation performance of manufacturing supply chain alliance.

NoKalb Genetics (Pakistan) Limited: Supply Chain Management

2003 ◽  
Vol 07 (01) ◽  
pp. 43-66
Author(s):  
Arif Iqbal Rana
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Capital Requirements ◽  
Raw Material ◽  
Working Capital ◽  
Chain Management ◽  
Retail Outlets ◽  
Hybrid Seeds ◽  
Limited Supply ◽  
A Chain

This case is about the Supply Chain of a pesticides producer (disguised as a hybrid seeds producer) that imported the raw material for its pesticides from its mother company in Switzerland, formulated and packed it in Karachi, and sold it throughout Pakistan. The company had two large warehouses in the country, many regional ware-houses, and a chain of retail outlets throughout the country. The company had been steadily losing market share to cheaper "generics" in the last 15 years. The company had also changed hands a few times in the last ten years and had been under pressure to reduce working capital requirements. The case looks at the typical challenges in supply chain management.

scholarly journals A Core Model for Parts Suppliers Selecting Method in Manufacturing Supply Chain

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Guorong Chen ◽  
Jiangyuan Zhao ◽  
Juli Deng
Keyword(s):  
Supply Chain ◽  
Complex Network ◽  
Manufacturing Systems ◽  
Fixed Number ◽  
Core Model ◽  
Supply Chain System ◽  
Chain System ◽  
Manufacturing Supply Chain ◽  
Service Oriented ◽  
Parts Suppliers

Service-oriented manufacturing is the new development of manufacturing systems, and manufacturing supply chain service is also an important part of the service-oriented manufacturing systems; hence, the optimal selection of parts suppliers becomes one of key problems in the supply chain system. Complex network theories made a rapid progress in recent years, but the classical models such as BA model and WS model can not resolve the widespread problems of manufacturing supply chain, such as the repeated attachment of edge and fixed number of vertices, but edges increased with preferential connectivity, and flexible edges’ probability. A core model is proposed to resolve the problem in the paper: it maps the parts supply relationship as a repeatable core; a vertex’s probability distribution function integrating the edge’s rate and vertex’s degree is put forward; some simulations, such as the growth of core, the degree distribution characteristics, and the impacting of parameter, are carried out in our experiments, and the case study is set also. The paper proposed a novel model to analyze the manufacturing supply chain system from the insights of complex network.

scholarly journals Supply chain resilience and measurement dimensions: The case of halal pharmaceuticals in Malaysia

2018 ◽  
Vol 56 ◽  
pp. 05001
Author(s):  
Osaro Aigbogun ◽  
Zulkipli Ghazali ◽  
Radzuan Razali
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Empirical Studies ◽  
Partial Least Square ◽  
Least Square ◽  
Manufacturing Companies ◽  
Cross Sectional ◽  
Supply Chain Resilience ◽  
Manufacturing Supply Chain ◽  
Cross Sectional Design

Resilience is the vital feature of supply chains that confers the ability to withstand the adverse effects of disruptive events. Most of the previous studies have been conceptual, theoretical, normative, or at best qualitative in approach, concentrating on identifying the elements of resilience. In spite of the proliferation of studies, an empirically validated quantitative study on justifying the measurement dimensions of supply chain resilience is rare, thus the need for further quantitative empirical studies. The context of the present study is the manufacturing supply chain of halal pharmaceuticals in Malaysia. A quantitative cross-sectional design was applied by means of self-administered structured questionnaire survey, using the Supply Chain Resilience Assessment and Management instrument (SCRAM© 2.0). The survey yielded usable responses from 106 manufacturing companies engaged in the production of halal pharmaceuticals in Malaysia. Descriptive statistics as well as partial least square-based structural equation modelling was used to analyze the survey data. This was facilitated by IBM SPSS statistics software (version 21.0), and Smart PLS 3.2.4 respectively. The results suggest that the psychometric properties of the supply chain resilience dimensions (vulnerabilities and capabilities) in the context of the present study are reliable and valid.

The Influencing Factors Analysis of Implementing Green Supply Chain Based on the Investigation Data in Shandong Province of China

2013 ◽  
Vol 671-674 ◽  
pp. 3049-3054
Author(s):  
Cao Qian ◽  
Xi Jian Quan ◽  
Yu Yan Wang
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Energy Consumption ◽  
Product Design ◽  
Influencing Factors ◽  
Shandong Province ◽  
Raw Material ◽  
Green Supply Chain ◽  
Manufacturing Enterprises ◽  
Factors Analysis

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.

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