Managing Inflexible Supply Chains

1998 ◽  
Vol 9 (2) ◽  
pp. 83-90 ◽  
Author(s):  
Gareth P. Jenkins ◽  
Derek S. Wright
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Structural Changes ◽  
Lead Times ◽  
Chain Flexibility ◽  
Planning And Control ◽  
Supply Chain Flexibility ◽  
System Changes ◽  
Service Expectations ◽  
And Control

Logistics managers are faced with greater customer volatility, higher customer service expectations and pressure to reduce costs. If these conflicting pressures are to be reconciled, increased supply chain flexibility is vital. Enhanced flexibility is achieved through two types of changes to the supply chain: structural changes, including processes, physical resources and linkages/relationships; and, system changes, including how information is used and decisions taken. Structural changes include reducing lead‐times from suppliers, JIT manufacture, and holding stocks at customers' sites. System changes may include speeding information flow and deploying information technology to improve planning and control of the supply chain.

scholarly journals Lessons from empirical studies in supply chain flexibility: a maturity perspective

2019 ◽  
Vol 16 (3) ◽  
pp. 436-447 ◽  
Author(s):  
Raquel Mello ◽  
Bernd Hellingrath ◽  
Roberto Antonio Martins
Keyword(s):  
Supply Chain ◽  
Empirical Studies ◽  
Real Life ◽  
Maturity Model ◽  
Manufacturing Companies ◽  
Chain Flexibility ◽  
Planning And Control ◽  
Supply Chain Flexibility ◽  
Cross Case Analysis ◽  
And Control

Goal: To analyze supply chain flexibility (SCF) within real-life settings from a maturity perspective and provide a discussion on the importance of a maturity model for SCF. Design/Methodology/Approach: A multiple case study was conducted in multinational manufacturing companies from different business sectors, offering a within-case and cross-case analysis. Results: The empirical evidence revealed that the studied companies do not consider flexibility measures. This absence renders difficulties when striving for external flexibility, for instance, affecting planning and control activities. Furthermore, the conducted analysis showed that sharing information among supply chain members has a significant impact on the identification of changes in the processes, enabling a correct and quick reaction to these changes. Limitations of the investigation: The results are restricted to the studied companies; therefore, the SCF maturity model deserves more application through the development of more empirical investigations. Practical implications: This is a guide for practitioners to identify the current maturity level of their SCF, and subsequently improve the processes, aiming to achieve the desired result. Originality/Value: This paper addresses the lack of theoretical and empirical studies in the literature regarding the analysis of SCF maturity and its different levels, thus enabling practitioners and researchers to improve the understanding of maturity in the SCF context.

scholarly journals Retracted: Applications of Mathematical Modeling for Sensitivity and Sustainability in Supply Chain Flexibility

2016 ◽  
Vol 5 (2) ◽  
pp. 75-102
Author(s):  
G. M. G Farok ◽  
M. I.M Wahab
Keyword(s):  
Mathematical Modeling ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Risk Analysis ◽  
Customer Service ◽  
Material Handling ◽  
Chain Flexibility ◽  
Chain Management ◽  
Supply Chain Flexibility ◽  
Global Partnerships

Supply Chain Management (SCM) demands management of complex dependencies for sensitivity and sustainability on contest of teams, departments, drivers and matrices. It requires risk analysis of global partnerships, win-win contracts and sharing agreements with relevant companies. Supply Chain flexibility, drivers and metrics may include measurements for procurement, production, transportation, inventory, warehousing, material handling, packaging and customer service. There are hundreds of sensitivity that can be used to score Supply Chain Management performance. These results would lead to support and accommodate the sustainability which can be influenced by supply strategies and decisions on supply chain flexibility.

A flexible and adaptable planning and control system for an MTO supply chain system

2006 ◽  
Vol 22 (5-6) ◽  
pp. 557-565 ◽  
Author(s):  
Mustafa Özbayrak ◽  
Theopisti C. Papadopoulou ◽  
Efstratios Samaras
Keyword(s):  
Supply Chain ◽  
Control System ◽  
Supply Chain System ◽  
Chain System ◽  
Planning And Control ◽  
And Control

scholarly journals Lead Times – Their Behavior and the Impact on Planning and Control in Supply Chains

2017 ◽  
Vol 8 (2) ◽  
pp. 30-40 ◽  
Author(s):  
Peter Nielsen ◽  
Zbigniew Michna ◽  
Brian Bruhn Sørensen ◽  
Ngoc Do Anh Dung
Keyword(s):  
Supply Chains ◽  
Lead Time ◽  
Large Impact ◽  
Lead Times ◽  
Stochastic Nature ◽  
Planning And Control ◽  
And Control ◽  
The Impact ◽  
Independent And Identically Distributed

AbstractLead times and their nature have received limited interest in literature despite their large impact on the performance and the management of supply chains. This paper presents a method and a case implementation of the same, to establish the behavior of real lead times in supply chains. The paper explores the behavior of lead times and illustrates how in one particular case they can and should be considered to be independent and identically distributed (i.i.d.). The conclusion is also that the stochastic nature of the lead times contributes more to lead time demand variance than demand variance.

scholarly journals Supply chain resilience and industry 4.0: a evaluation of the Brazilian northeast automotive OEM scenario post COVID-19

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Milton C. Soares ◽  
Cristiano V. Ferreira ◽  
Thiago B. Murari
Keyword(s):  
Supply Chain ◽  
Product Quality ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Future Outlook ◽  
Control Plan ◽  
Quality Planning ◽  
Planning And Control ◽  
Brazilian Northeast ◽  
And Control

AbstractCOVID-19 outbreak has heavily impacted the manufacturing industry, including Brazilian Automotive Industry. The effects of COVID-19 created restrictions in several industry processes as supply chain. On the other hand, several industry 4.0 technologies is able to support the industry supply chain activities in the COVID 19 scenarios, as well it may contributed for the automotive industry recovery and it will define the next steps of this industry. A supply chain is a network between a company and its suppliers to produce and distribute a specific product to the final buyer. Industry 4.0 is related to the technology development and the digitalization process that improve significantly productivity. Considering the automotive process, an important reference model is described in Advanced Product Quality Planning and Control Plan, that is a manual that communicate the guidelines of the product quality planning and control plan for internal and external suppliers. In this scenario, this paper evaluated the current situation and the future outlook for the adoption of Industry 4.0 technologies in the automotive OEM post-pandemic scenario on the point of view of automotive specialists. The results of this research provide an overview of the current situation and the future outlook for the usage of Industry 4.0 technologies by the Brazilian Northeast automotive OEM, from the perspective of manufacturing engineering experts on APQP.

scholarly journals Supply chain management, supply chain flexibility and firm performance: an empirical investigation of agriculture companies in Indonesia

2022 ◽  
Vol 10 (1) ◽  
pp. 155-160 ◽  
Author(s):  
Itang, H.S. Sufyati ◽  
Asep Dadan Suganda ◽  
Shafenti Shafenti ◽  
Mochammad Fahlevi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Firm Performance ◽  
Competitive Advantage ◽  
Partial Least Square ◽  
Least Square ◽  
Chain Flexibility ◽  
Chain Management ◽  
Supply Chain Flexibility ◽  
The Impact

The purpose of this research is to better understand the impact of supply chain management (SCM) and flexibility on firm performance, as well as the role of competitive advantage in mediating the model in Indonesian agriculture companies. Companies must apply supply chain management and supply chain flexibility (SCF) to boost industrial competitiveness, which impacts firm performance. To ensure that supply chain management supports the company's strategy, companies must evaluate supply chain concerns. From the literature search, researchers have not found any published studies or articles on SCM and SCF in their influence on firm performance through competitive advantage, specifically for corn companies in Indonesia. The population in this study includes agriculture companies in Indonesia. Sampling was carried out using probability sampling technique, the total population of 200 obtained a sample size of 133.333 which can be rounded up to 134 research samples. The inferential statistical method used in the data analysis of this study was the Partial Least Square Version 3 program. The study found that SCM influenced firm performance and SCF had a direct influence on firm performance. However, competitive advantage variable failed in being a mediator in SCM and SCF on firm performance.

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