Managing quality risk in supply chain to drive firm's performance: The roles of control mechanisms

Purpose This paper aims to examine the effect of external supply chain (SC) flexibility on the product innovation performance of small- and medium-sized enterprises (SMEs) and the contingent role of informal control mechanisms in moderating such an effect. Design/methodology/approach This study conducts a cross-sectional questionnaire survey of 236 UK-based SME manufacturers. Findings Inbound supplier flexibility (ISF) has a stronger positive effect on SMEs’ product innovation performance than outbound logistics flexibility (OLF), and that the strength and direction of both effects depend on informal control mechanisms. Lead supplier influence negatively moderates the relationship between ISF and product innovation performance but positively moderates the relationship between OLF and product innovation performance. Normative integration positively moderates the relationship between ISF and product innovation performance. Research limitations/implications This study enriches SC flexibility studies by focusing on understanding the differential effects of ISF and OLF on product innovation performance, as well as the role that contingency factors play in these relationships in the SME context. Practical implications To promote product innovation performance, SME managers should focus on building good relationships with their suppliers rather than their logistics service providers. SME managers should be particularly aware of the different types of informal control mechanisms that govern their SC relationships and adjust their managerial approaches accordingly. Originality/value This study distinguishes between ISF and OLF and examines their impacts on SMEs’ product innovation performance. This study investigates the differential effects of lead supplier influence and normative integration on the relationship between external SC flexibility and SMEs’ product innovation performance.

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Quality Risk Propagation of Complex Product Collaborative Manufacturing Supply Chain Network Based on CN and SoV

Discrete Dynamics in Nature and Society ◽

10.1155/2020/8889903 ◽

2020 ◽

Vol 2020 ◽

pp. 1-16

Author(s):

Tengjiao Li ◽

Hongzhuan Chen ◽

Jie Yuan ◽

Jingye Qian ◽

Abdul Waheed Siyal

Keyword(s):

Risk Factors ◽

Supply Chain ◽

Product Quality ◽

Propagation Model ◽

Propagation Mechanism ◽

Supply Chain Network ◽

Complex Product ◽

Collaborative Manufacturing ◽

Manufacturing Supply Chain ◽

Quality Risk

The collaborative development of complex products has gradually developed into a “main manufacturer-suppliers” mode, under which the manufacturing enterprises form a complex product collaborative manufacturing supply chain network. Quality risks which bring enormous hidden danger to the product quality can be propagated and accumulate along the supply chain. It is of great significance to quantify the propagation mechanism of quality risk between supply chain network nodes and identify the key quality risk factor that causes fluctuation of product quality. This study for the first time applies the SoV into the research on quality risk propagation of complex product collaborative manufacturing supply chain network. Firstly, this paper uses the CN to construct a complex product collaborative manufacturing supply chain network according to its characteristics. Secondly, on the basis of SoV, the quality risk propagation model is established. Thirdly, we put forward a method to identify the key quality risk factors of supply chain network based on the risk propagation effect. Lastly, a numerical simulation is given to verify the effectiveness of the model and its identification method. The results reveal that the quality risk propagation includes the vertical propagation within enterprises and the horizontal propagation from the lower-level enterprises to the upper-level enterprises of the supply chain. The quality risks of an enterprise are determined by its own quality risk factors and the quality risk passed by the lower-level enterprises.

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Quality Risk Evaluation of the Food Supply Chain Using a Fuzzy Comprehensive Evaluation Model and Failure Mode, Effects, and Criticality Analysis

Journal of Food Quality ◽

10.1155/2018/2637075 ◽

2018 ◽

Vol 2018 ◽

pp. 1-19

Author(s):

Libiao Bai ◽

Chunming Shi ◽

Yuntao Guo ◽

Qiang Du ◽

Youdan Huang

Keyword(s):

Supply Chain ◽

Food Quality ◽

Food Supply ◽

Comprehensive Evaluation ◽

Evaluation Model ◽

Fuzzy Comprehensive Evaluation ◽

Risk Level ◽

Food Supply Chain ◽

Quality Risk ◽

Criticality Analysis

Evaluating the quality risk level in the food supply chain can reduce quality information asymmetry and food quality incidents and promote nationally integrated regulations for food quality. In order to evaluate it, a quality risk evaluation indicator system for the food supply chain is constructed based on an extensive literature review in this paper. Furthermore, a mathematical model based on the fuzzy comprehensive evaluation model (FCEM) and failure mode, effects, and criticality analysis (FMECA) for evaluating the quality risk level in the food supply chain is developed. A computational experiment aimed at verifying the effectiveness and feasibility of this proposed model is conducted on the basis of a questionnaire survey. The results suggest that this model can be used as a general guideline to assess the quality risk level in the food supply chain and achieve the most important objective of providing a reference for the public and private sectors when making decisions on food quality management.

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Influencing Factors and Evaluation Model of Quality Risks in Intelligent Manufacturing Mobile Supply Chain

Journal Européen des Systèmes Automatisés ◽

10.18280/jesa.530621 ◽

2020 ◽

Vol 53 (6) ◽

pp. 953-961

Author(s):

Yujie He

Keyword(s):

Supply Chain ◽

Influencing Factors ◽

Time Management ◽

Evaluation Model ◽

Intelligent Manufacturing ◽

Risk Identification ◽

Evaluation Index System ◽

Factors Affecting ◽

Four Dimensions ◽

Quality Risk

The intelligent manufacturing (IM) supply chain (SC) involves multiple distributed agents. The mobile supply chain (MSC) technology supports the real-time management of key information resources in the supply chain of IM products. This paper explores the influencing factors and evaluation model of quality risks in IM MSC, trying to make realistic evaluation of the actual quality risks of the enterprise. Firstly, the authors constructed a quality risk identification framework for IM MSC, and a hierarchical evaluation index system (EIS) based on the factors affecting quality risks. Besides, the features and attributes of four dimensions of quality risks were specified, and the corresponding intuitive triangular fuzzy numbers were given. Next, an evaluation model was established for the quality risks of IM MSC based on backpropagation neural network (BPNN). After the evaluation of quality risks, a contract model was designed for the quality risk control in IM MSC. The proposed EIS and models were proved effective through experiments.

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Modeling enablers of supply chain quality risk management: a grey-DEMATEL approach

The TQM Journal ◽

10.1108/tqm-05-2019-0132 ◽

2019 ◽

Vol 32 (5) ◽

pp. 1059-1076

Author(s):

Anupama Prashar ◽

Shikha Aggarwal

Keyword(s):

Risk Management ◽

Supply Chain ◽

Empirical Study ◽

Early Stage ◽

Content Type ◽

Quality Risk Management ◽

Automotive Supply Chain ◽

Quality Risk ◽

Automotive Supply ◽

The Impact

Purpose The purpose of this paper is to recognize and model the enablers of supply chain quality risk management (SCQRM) through an empirical study in the Indian automotive companies. Design/methodology/approach A systematic literature review was conducted to extract the key enablers of quality management (QM) and risk management in the context of manufacturing supply chains. A grey-based DEMATEL method was employed to identify and model the key enablers of SCQRM. Findings The results of empirical study showed that the effectiveness of QM and risk management systems for automotive supply chain is driven by a set of common enablers that could be employed for developing dedicated SCQRM systems. The common causal factors in the model such as the involvement of top leaders, inter-firm communication and strategic-level alignment between supply chain members on both these issues clearly state that there is a need for a broader policy at an early stage. Practical implications It is crucial for the automotive companies to develop and implement structured systems for SCQRM keeping in view the impact of any unaddressed quality risk on missed production targets, vehicle recalls and safety hazards. Originality/value This study ascertains the key enablers of SCQRM with emblematic focus on automotive industry and identifies if there are commonalities in these enablers.

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Trust and control in evolving inter-organisational relationships

Accounting Auditing & Accountability Journal ◽

10.1108/aaaj-02-2013-1218 ◽

2018 ◽

Vol 31 (1) ◽

pp. 112-140 ◽

Cited By ~ 8

Author(s):

Evangelia Varoutsa ◽

Robert W. Scapens

Keyword(s):

Supply Chain ◽

Control Mechanisms ◽

Content Type ◽

Personal Trust ◽

Complex Relationships ◽

Organisational Trust ◽

And Control ◽

The Relationship ◽

Over Time

Purpose The purpose of this paper is to contribute to debates about the relationship between trust and control in the governance of inter-organisational relationships. In particular, the authors focus on the question of how the relationship between trust and control shifts over time. Design/methodology/approach An in-depth case study was conducted in a company operating in the aerospace industry. The authors aim to understand this company’s practices and, at the same time, to use the case study to deepen the knowledge of the complex trust/control nexus. The authors follow the changes in the relationship between trust and control as the company restructured its supply chain, and discuss issues which it had to address in the later phases of the supply chain restructuring. Findings The paper illustrates the duality of the trust/control nexus. The authors show how the studied company coped with the complex relationships with its suppliers as collaboration increased. The authors identify particular control mechanisms that the company developed to manage such complexity, such as a supplier strategy and a relationship profile tool. Research limitations/implications The paper studies supply chain restructuring and the changing relationship of trust and control over time only from the perspective of the assembler/manufacturer which “owns”/manages the supply chain. Originality/value The authors observe a move from inter-personal trust to inter-organisational trust. Furthermore, the authors illustrate how managers can intervene to maintain and stabilise trust and ensure that trust and control do not degrade or escalate beyond desirable levels.

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Evaluating the modus operandi of construction supply chains using organization control theory

International Journal of Construction Supply Chain Management ◽

10.14424/ijcscm501015-16-33 ◽

2015 ◽

Vol 5 (1) ◽

pp. 16-33 ◽

Cited By ~ 4

Author(s):

Milind Jagtap ◽

◽

Sachin Kamble ◽

Keyword(s):

Supply Chain ◽

Supply Chains ◽

Structural Equation ◽

Construction Projects ◽

Project Performance ◽

Control Mechanisms ◽

Modus Operandi ◽

Output Control ◽

Project Risk ◽

Input Control

Supply chains are omnipresent. However, the modus operandi of the construction supply chain is not clearly established in the literature. This might be attributable to the character of construction projects and the structure of the construction industry. Formal and informal control mechanisms are well established in retail and manufacturing supply chains whichis evident in improved product performance. However, there is a paucity of research on the construction supply chain especially atidentifying the interplay of control mechanisms and their relationship with project performance. In the case of large and complex construction projects, the client-contractor relationship requires input control, behaviour control and output control for successful project delivery. In the light of organisationcontrol theory and the existing literature on construction supply chains, this study evaluates the modus operandi of the client-contractor relationship based on three control mechanisms: input control (project risk and reward power, and intra-project communication), behaviour control (opportunism) and output control (project performance) using a structural equation model. A survey data of258 construction professionals working on construction projectsin Indiawas collected. The study findingsreveal that input control, in terms of project risk and reward power,and intra-project communication, largely influence behaviour control in terms of opportunism. However, behaviour controls do not directly affect output control in terms of project performance; rather, a direct effect of the input control mechanism of output control is particularly evident.

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Quality Risk Management in Pharmaceutical Supply Chain, Warehousing and Dispensing -Practical Case Study from Sterile Pharmaceutical Industry

International Journal of Pharmaceutical Sciences Review and Research ◽

10.47583/ijpsrr.2021.v68i02.023 ◽

2021 ◽

Vol 68 (2) ◽

Author(s):

Rawidh Alsaidalani ◽

Bassam Elmadhoun

Keyword(s):

Risk Assessment ◽

Risk Management ◽

Supply Chain ◽

Quality Management System ◽

Practical Case ◽

Medicinal Products ◽

Pharmaceutical Supply Chain ◽

Quality Risk Management ◽

Early Stages ◽

Quality Risk

Quality Risk Management (QRM) during medicinal products manufacturing is now becoming an integral part of quality management system (QMS). Most if not all regulatory authorities have revised their current good manufacturing practices (GMP) to incorporate the concept of risk assessment in every single process regardless to the criticality of the process. Different Procedures in pharmaceutical QMS like deviation control, change control, investigation, customer complaints handling, validation & qualification, product release, etc. consider the principles of risk assessment at all steps. Extensive research in this area shows that there is scarcity of research on quality risk management during early stages of medicinal products manufacturing including (1) procurement/supply chain, (2) logistics/warehousing and (3) raw materials dispensing. To cover the gap in the literature, three practical case studies has been studied by selecting one major step from each manufacturing stage and applied risk assessment following the procedure described in ICHQ9 and using Failure Mode Effect Analysis (FMEA) as risk assessment quality tool. As a result of this review, QRM during early stages of medicinal products manufacturing may be useful to avoid unnecessary complaints or delay during subsequent drug processing in the manufacturing site. Being proactive and taking all necessary measures to avoid any possible defects or mishandling is one of the major objectives of QRM and ultimately patient protection. This study shows a model solution for industry professionals and regulators to reduce the possible risks associated with early stages of medicinal products manufacturing thereby paving the way for significant business growth.

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