Building Lean Supply Chain and Manufacturing Skills through an Interactive Case Study

2007 ◽  
Vol 21 (4) ◽  
pp. 265-278 ◽  
Author(s):  
Ertunga C. Ozelkan ◽  
S. Gary Teng ◽  
Thomas Johnson ◽  
Tom Benson ◽  
Dean Nestvogel
Keyword(s):  
Supply Chain ◽  
Lean Manufacturing ◽  
Effective Means ◽  
Real Life ◽  
Lean Principles ◽  
Business Graduates ◽  
Industry Collaboration ◽  
Interactive Case Study ◽  
Lean Supply Chain

With the ongoing global pressure to cut costs and focus on quality, many companies have been implementing ‘lean manufacturing’ concepts to survive in the competitive marketplace. Thus it is imperative that engineering and business graduates are equipped with the lean principles, and are ready to take ownership of lean initiatives as they enter the industry. This paper presents a lean supply chain case study that was initiated and completed through university–industry collaboration in an effort to expose students and professionals to a real-life lean implementation experience. Implementation and feedback indicate that this case study can be an effective means of training engineering management professionals in lean systems/manufacturing concepts.

Using lean principles to streamline the quotation process: a case study

2002 ◽  
Vol 102 (9) ◽  
pp. 513-520 ◽  
Author(s):  
Conan M. Buzby ◽  
Arthur Gerstenfeld ◽  
Lindsay E. Voss ◽  
Amy Z. Zeng
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Cycle Time ◽  
Lean Manufacturing ◽  
Lean Principles ◽  
Service Efficiency ◽  
Trading Partners ◽  
Competitive Prices ◽  
Competitive Pricing

The quotation process tightly links the manufacturer and its suppliers and customers on a supply chain. An excellent record of successful quotes not only benefits trading partners, but also positions the manufacturer on the market in terms of its responsiveness, customer service, efficiency, and competitive pricing. In the existing literature, lean principles are generally applied to manufacturing only, this paper relies on a case study to show the application of lean manufacturing principles to the administrative function of the quotation process. In addition, the case demonstrates that electronic solutions are the best remedies for streamlining the quotation process to reduce the total cycle time – the basis for providing competitive prices and excellent customer service.

A Framework for design Lean Supply Chain: A Case Study in a Peruvian Concrete Company

2022 ◽  
Vol 13 (4) ◽  
pp. 1
Author(s):  
Ron Mesia ◽  
Phillip Coles ◽  
Ivan Arauco ◽  
Edgar Ramos
Keyword(s):  
Supply Chain ◽  
Lean Supply Chain

Impact of Lean Supply Chain Management on Operational Performance

2015 ◽  
Vol 2 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Steve Bin Zhou ◽  
Fiona Xiaoying Ji
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Small Businesses ◽  
Lean Manufacturing ◽  
Value Added ◽  
Current Status ◽  
Chain Management ◽  
Small Organizations ◽  
Research Survey ◽  
Lean Supply Chain

Lean is a systematic approach to identify and eliminate non-value-added activities or waste through continuous improvement process. While traditional lean manufacturing focuses on the activities within a single organization, lean supply chain consists of the same processes, but it views these processes over multiple organizations. This research addresses an important yet under-studied area – lean supply chain management in small organizations, especially small manufacturing firms. The study examines driving factors of lean supply chain management, focus of lean supply chain practices, and major supply chain and information technology solutions applied in these companies. Through a research survey, the study has provided important insights into the current status of lean supply chain practices and related implementation issues in small businesses.

scholarly journals Industrial Case Study on Lean Manufacturing Implemented on Manufacturing Polypropylene Ropes Industry Amravati

2021 ◽  
Vol 9 (12) ◽  
pp. 1318-1323
Author(s):  
Vipul Deshpande
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing Industry ◽  
Service Industry ◽  
Developing Economies ◽  
Labour Productivity ◽  
Shop Floor ◽  
Industrial Case Study ◽  
Lean Principles ◽  
Manufacturing Techniques

Abstract: Lean manufacturing has been one of the most standard method in the manufacturing and service industry for elimination of waste. Every manufacturing industry has to put in continuous effort for its survival in the current impulsive and competitive economy. The purpose of this paper is to investigate the adoption of lean manufacturing tools and techniques in the manufacturing industries. This paper is based on actual implementation of lean manufacturing techniques. It focuses on the execution of flow from the start until the end of the implementation, types of analysis and tools applied, evaluation methods and how the industry benefited from the implementation. In this case study we particularly focused on Shop floor management, Quality Management (QM), Supplier and Customer Management (SCM) and Workforce Management (WM). After going through various testing on implementation of Lean Manufacturing principles in Micro Small medium Enterprise (MSME), researcher studied thoughts of some author where they discussed pragmatic problems they overcome while implementing lean principles in developing economies MSME. At the end, the result shows that there is monthly increment in capital productivity and labour productivity. And decrement in inhouse rejection, breakdown hours and customer complaint from the implementation of lean.

Comparative analysis of ranking the lean supply chain enablers: An AHP, BWM and fuzzy SWARA based approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hemant Sharma ◽  
Nagendra Sohani ◽  
Ashish Yadav
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Lean Manufacturing ◽  
Production Systems ◽  
Initial Step ◽  
Content Type ◽  
Lean Practices ◽  
Manufacturing Organization ◽  
Good Productivity ◽  
Lean Supply Chain

PurposeIn the recent scenario, there has been an increasing trend toward lean practices and implementation in production systems for the improvement of an organization’s performance as its basic nature is to eliminate the wastes. The increasing interest of customers in customized products and the fulfillment of customers’ demand with good productivity and efficiency within time are the challenges for the manufacturing organization; that is why adopting lean manufacturing concept is very crucial in the current scenario.Design/methodology/approachIn this paper, the authors considered three different methodologies for fulfilling the objective of our research. The analytical hierarchy process, best–worst method and fuzzy step-wise weight assessment ratio analysis are the three methods employed for weighting all the enablers and finding the priority among them and their final rankings.FindingsFurther, the best results among these methodologies could be used to analyze their interrelationships for successful lean supply chain management implementation in an organization. In this paper, 35 key enablers were identified after the rigorous analysis of literature review and the opinion of a group of experts consisting of academicians, practitioners and consultants. Thereafter, the brainstorming sessions were conducted to finalize 28 lean supply chain enablers (LSCEs).Practical implicationsFor lean manufacturing practitioners, the result of this study can be beneficial where the manufacturer is required to increase efficiency and reduce cost and wastage of resources in the lean manufacturing process.Originality/valueThis paper is the first of the research papers that considered deep literature review of identified LSCEs as the initial step, followed by finding the best priority weightage and developing the ranking of various lean enablers of supply chain with the help of various methodologies.

Evaluation of Key Metrics for Performance Measurement of a Lean Deployment Effort

2012 ◽  
pp. 1220-1230
Author(s):  
Edem G. Tetteh ◽  
Ephrem Eyob ◽  
Yao Amewokunu
Keyword(s):  
Supply Chain ◽  
Lean Manufacturing ◽  
Product Liability ◽  
Multinational Organization ◽  
Lean Enterprise ◽  
Participation Level ◽  
Increase Productivity ◽  
Key Techniques ◽  
First In First Out ◽  
Lean Supply Chain

To meet customer’s needs for high-quality goods and avoiding risks of product-liability, global firms continually evaluate the performance of their supply chain for optimum design. Lean management is one of the key techniques businesses adopt in redesigning their processes. The technique is a vital strategy to increase productivity and effectiveness with respect to the movement of goods. Multivariate Analysis of Variance (MANOVA) was utilized to evaluate the performance of work cell, shift, worker’s experience, and kaizen event participation level during a lean enterprise deployment effort at a multinational organization. The significance of the effects of these variables were assessed based on various lean supply chain factors such as First In First Out (FIFO), Setup Wheel System (SWS), Standard Operating Procedures (SOP), Clip System(CS), and Key Performances Indicators (KPI). The results support the criticality of metrics and their impact in implementing a lean manufacturing process in a global supply chain environment.

Evaluation of Key Metrics for Performance Measurement of a Lean Deployment Effort

2012 ◽  
pp. 224-235
Author(s):  
Edem G. Tetteh ◽  
Ephrem Eyob ◽  
Yao Amewokunu
Keyword(s):  
Supply Chain ◽  
Lean Manufacturing ◽  
Product Liability ◽  
Multinational Organization ◽  
Lean Enterprise ◽  
Participation Level ◽  
Increase Productivity ◽  
Key Techniques ◽  
First In First Out ◽  
Lean Supply Chain

To meet customer’s needs for high-quality goods and avoiding risks of product-liability, global firms continually evaluate the performance of their supply chain for optimum design. Lean management is one of the key techniques businesses adopt in redesigning their processes. The technique is a vital strategy to increase productivity and effectiveness with respect to the movement of goods. Multivariate Analysis of Variance (MANOVA) was utilized to evaluate the performance of work cell, shift, worker’s experience, and kaizen event participation level during a lean enterprise deployment effort at a multinational organization. The significance of the effects of these variables were assessed based on various lean supply chain factors such as First In First Out (FIFO), Setup Wheel System (SWS), Standard Operating Procedures (SOP), Clip System(CS), and Key Performances Indicators (KPI). The results support the criticality of metrics and their impact in implementing a lean manufacturing process in a global supply chain environment.

scholarly journals Social Networks and Supply Chain Management in Fish Trade

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402093181
Author(s):  
Carmen Pedroza-Gutiérrez ◽  
Juan M. Hernández
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Real Life ◽  
Primary Data ◽  
Structured Interviews ◽  
Knowledge Based ◽  
The Relationship

This study aims to construct a theoretical framework to analyze the elements of the network structure and the relationship system within the seafood supply chain. The scope of the investigation is to evaluate how these elements influence the flow of products and the efficiency of the seafood supply chain and why these social interactions can create value and enhance competitive advantage. The model combines the resource- and knowledge-based view and the social network analysis applied to seafood supply chains. To demonstrate the application of the model, two theoretical examples and a real case study of the Mercado del Mar in Guadalajara, Mexico, are used. Primary data are obtained from semi-structured interviews, social network analysis metrics, and qualitative analysis. Findings are based on the analysis of theoretical examples and must be considered with caution. Nevertheless, the observations in the examples and case study provide new arguments to the relationship between the pattern of interrelationship and the efficiency of a supply chain. This study emphasizes the necessity of combining quantitative and qualitative analyses to understand and explain real-life supply networks.

Study of Industry 4.0 and its Impact on Lean Transformation in Aerospace Manufacturing

2019 ◽  
Author(s):  
Sagil James ◽  
Alejandro Cervantes
Keyword(s):  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing Sector ◽  
Discrete Event ◽  
Hybrid Approach ◽  
Manufacturing Industries ◽  
Lean Principles ◽  
Aerospace Manufacturing ◽  
Lean Transformation

Abstract Lean manufacturing practices focus on minimizing all forms of waste from the production system. The applicability of lean manufacturing concepts and principles has often been questioned in sectors including aerospace manufacturing primarily due to their high variety - low volume environments. The key challenges include the difficulty in changing the factory layout, lack of plant-specific manufacturing strategies, lack of benchmarking between manufacturing plants and non-existence of learning through experimentation culture. Consequently, the aerospace manufacturing industries have struggled to implement lean principles over the years successfully. Industry 4.0 is a new paradigm that is significantly influencing several manufacturing industries across the globe. Applying the concepts of Industry 4.0 along with the conventional lean transformation technology could potentially address these challenges. The focus of this research is to study the possibilities of integrating Industry 4.0 tools with existing lean manufacturing philosophies within the aerospace manufacturing sector in order to improve various aspects of manufacturing processes in a cyber-physical environment. A case study is performed considering a quality inspection department in a typical aerospace industry. The case study is simulated using discrete event simulation tool — Arena. The study found that a hybrid approach involving the holistic merger of the lean principles along with the Industry 4.0 tools known as Lean Industry 4.0 is the best way forward for the aerospace manufacturing sector. The outcomes of this research provide an understanding of the role of industry 4.0 paradigm and their implementation in several other high-technology and high-risk manufacturing sectors including life sciences, space, and defense industries.

scholarly journals Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment

2021 ◽  
Author(s):  
Srikant Gupta ◽  
Ahteshamul Haq ◽  
Irfan Ali ◽  
Biswajit Sarkar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Real Life ◽  
Decision Makers ◽  
Supply Chain Network ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Hierarchical Decision

AbstractDetermining the methods for fulfilling the continuously increasing customer expectations and maintaining competitiveness in the market while limiting controllable expenses is challenging. Our study thus identifies inefficiencies in the supply chain network (SCN). The initial goal is to obtain the best allocation order for products from various sources with different destinations in an optimal manner. This study considers two types of decision-makers (DMs) operating at two separate groups of SCN, that is, a bi-level decision-making process. The first-level DM moves first and determines the amounts of the quantity transported to distributors, and the second-level DM then rationally chooses their amounts. First-level decision-makers (FLDMs) aimed at minimizing the total costs of transportation, while second-level decision-makers (SLDM) attempt to simultaneously minimize the total delivery time of the SCN and balance the allocation order between various sources and destinations. This investigation implements fuzzy goal programming (FGP) to solve the multi-objective of SCN in an intuitionistic fuzzy environment. The FGP concept was used to define the fuzzy goals, build linear and nonlinear membership functions, and achieve the compromise solution. A real-life case study was used to illustrate the proposed work. The obtained result shows the optimal quantities transported from the various sources to the various destinations that could enable managers to detect the optimum quantity of the product when hierarchical decision-making involving two levels. A case study then illustrates the application of the proposed work.

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