Application of Process Analysis based on Value Objective Improvement in Risk Identification of Supply Chain

Author(s):  
Qunxiong Zhu ◽  
Lu Liu ◽  
Yanlin He
2017 ◽  
Vol 7 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Daniela Marasova ◽  
Miriam Andrejiova ◽  
Anna Grincova

AbstractRisk management facilitates risk identification, evaluation, control, and by means of appropriate set of measures, risk reduction or complete elimination. Therefore, the risk management becomes a strategic factor for a company’s success. Properly implemented risk management system does not represent a tool to avoid the risk; it is used to understand the risk and provide the bases for strategic decision-making.Risk management represents a key factor for the supply chain operations. Managing the risks is crucial for achieving the customer satisfaction and thus also a company’s success. The subject-matter of the article is the assessment of the supply chain in the automobile industry, in terms of risks. The topicality of this problem is even higher, as after the economic crisis it is necessary to revaluate the readiness of the supply chain for prospective risk conditions. One advantage of this article is the use of the Saaty method as a tool for the risk management within the supply chain.


2018 ◽  
Vol 2018 ◽  
pp. 1-18
Author(s):  
Tirazheh Zare-Garizy ◽  
Gilbert Fridgen ◽  
Lars Wederhake

Globalization and outsourcing are two main factors which are leading to higher complexity of supply chain networks. Due to the strategic importance of having a sustainable network, it is necessary to have an enhanced supply chain network risk management. In a supply chain network many firms depend directly or indirectly on a specific supplier. In this regard, unknown risks of network’s structure can endanger the whole supply chain network’s robustness. In spite of the importance of risk identification of supply chain network, firms are not willing to exchange the structural information of their network. Firms are concerned about risking their strategic positioning or established connections in the network. The paper proposes to combine secure multiparty computation cryptography methods with risk identification algorithms from social network analysis to address this challenge. The combination enables structural risk identification of supply chain networks without endangering firms’ competitive advantage.


2018 ◽  
Vol 23 (4) ◽  
pp. 351-376 ◽  
Author(s):  
Yiyi Fan ◽  
Mark Stevenson

Purpose This paper aims to investigate how supply chain risks can be identified in both collaborative and adversarial buyer–supplier relationships (BSRs). Design/methodology/approach This research includes a multiple-case study involving ten Chinese manufacturers with two informants per organisation. Data have been interpreted from a multi-level social capital perspective (i.e. from both an individual and organisational level), supplemented by signalling theory. Findings Buyers use different risk identification strategies or apply the same strategy in different ways according to the BSR type. The impact of organisational social capital on risk identification is contingent upon the degree to which individual social capital is deployed in a way that benefits an individual’s own agenda versus that of the organisation. Signalling theory generally complements social capital theory and helps further understand how buyers can identify risks, especially in adversarial BSRs, e.g. by using indirect signals from suppliers or other supply chain actors to “read between the lines” and anticipate risks. Research limitations/implications Data collection is focussed on China and is from the buyer side only. Future research could explore other contexts and include the supplier perspective. Practical implications The types of relationships that are developed by buyers with their supply chain partners at an organisational and an individual level have implications for risk exposure and how risks can be identified. The multi-level analysis highlights how strategies such as employee rotation and retention can be deployed to support risk identification. Originality/value Much of the extant literature on supply chain risk management is focussed on risk mitigation, whereas risk identification is under-represented. A unique case-based insight is provided into risk identification in different types of BSRs by using a multi-level social capital approach complemented by signalling theory.


2017 ◽  
Vol 1 (2) ◽  
pp. 101-118
Author(s):  
Dr.David Kiarie ◽  
Dr. Patrick Ngugi ◽  
Dr. Kennedy Ogollah

Purpose: The purpose of this study was to determine relationship between risk identification management strategy and supply chain performance among manufacturing companies in KenyaMethodology:The study adopted a cross-section survey of descriptive nature .The target population comprised of the 412 manufacturing companies within Nairobi County that were registered members of KAM. The fisher et al formula for calculating the sample size was used to yield a sample size of199. Data was collected using questionnaires and analyzed using statistical package of social sciences (SPSS) version 21 as a tool of analysis.Results: The study findings revealed that the constructs of risk identification management strategy combined together influenced supply chain performance as supported by a p value of 0.000.)Policy recommendation: the study recommended that manufacturing companies should put in place a risk analysis and evaluation management strategy to enhance supply chain performance. In particular, companies should consider conducting whole life costing of suppliers and also internal quality of suppliers.


Author(s):  
Raafat George Saadé ◽  
Ali Ahmed

This paper presents an optimized supply chain for ‘knowledge products’. Based on the traditional logistics model for academic knowledge, knowledge creation and delivery are discussed. A new framework of an optimized supply chain for ‘knowledge products’ is developed. A semi-structured interview was undertaken to capture and analyze the knowledge logistics in a traditional publishing setup. Findings include the illustration of a new optimized supply chain for the manufacturing and distribution of ‘knowledge products’. Realised benefits are discussed showing a significant reduction in total supply chain processing. Research in this domain involves the actual knowledge creators (publishing companies). Connecting knowledge delivery systems to the supplier presents challenges including information sharing and openness to accessing their systems. More challenges are discussed with implications, primarily related to commitment, partnership and re-engineering of present systems. Publishing companies still follow the same traditional supply chain for knowledge creation. They have moved towards custom publishing, but their processes remain practically the same. Publishing companies have to change their mindsets and re-engineer their processes.


Author(s):  
Brian Squire

This chapter takes an exploratory look at the use of formal network measures to further understanding of the sources of extended enterprise or supply chain risk. It attempts to show that network measures can provide additional insight to ‘uncover’ sources of risk that could remain hidden using ‘traditional’ measures alone. More specifically, network measures of criticality, centrality, redundancy, distance and topology are combined with traditional measures of criticality, organisational slack, global sourcing and outsourcing to develop a more complete understanding on the determinants of the impact and/or probability of supply chain disruption. The measures identified provide researchers and managers with a wide-ranging framework for risk identification.


2007 ◽  
Vol 27 (2) ◽  
pp. 154-168 ◽  
Author(s):  
Dina Neiger ◽  
Kristian Rotaru ◽  
Leonid Churilov

2015 ◽  
Vol 1 (42) ◽  
pp. 237-247
Author(s):  
Karol WIELGOSZ ◽  
Mariusz GONTARCZYK ◽  
Jarosław ZELKOWSKI

In article authors present literature analyses of the most important theoretical aspects concerning strategies of supplying, risk management in supply chain and disruptions occurring within supply chain. Nowadays, ignored by numerous companies, rare, catastrophic disruptions could lead to substantial loses when they occurred. After theoretical introduction authors present one of possible way of risk identification, evaluation and prioritization within supply chain, what could allow to develop appropriate plan of reaction to disruption before it occurs. Next article presents possible solutions, how to avoid or/and mitigate the risk and approach which could be applied by company when catastrophic disruption takes place.


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