value stream map
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Author(s):  
Kostiuk Yaroslava

In the current global dynamic and competitive business environment of Industry 4.0, small and medium-sized enterprises face a major challenge of expanding their market activities and adapt to new conditions in order to survive in times of economic or pandemic crisis. The implementation of comprehensive quality management in business environment within EU organizations is a response to this challenge for global competition (Abdul, Sumantoro, & Maria, 2019). Current problem is the fact that the implementation and monitoring of quality management as a process of business management in the majority of small and medium-sized enterprises (SMEs) is not sufficiently used, underestimated, or even considered to be obsolete (Rigby, Bilodeau, 2018). In an enterprise with good financial health and healthy corporate culture, all transactions and processes are carried out properly and the relationships among all stakeholders (employees, suppliers, and customers) are successful. For other companies, it is necessary to take steps to ensure quality and follow them (Fernandes et al., 2017) in order to move towards the concept of Industry 4.0. According to published professional literature, each research worker has developed their own framework for mapping value production operations based on specific needs and interests in the fields under review. However, the relationship between the quality processes and value stream maps has not been adequately addressed in professional literature, especially in the case of small and medium-sized enterprises. Therefore, for achieving the objective of the contribution, the following research questions have been formulated: To which extent quality participates in generating value added within production process? In which production operations does the quality factor contributes most to generating value added? Keywords: Quality value stream map, Value stream map, quality management, added value for the customer.


2021 ◽  
Vol 33 (7) ◽  
pp. 253-271
Author(s):  
Antonella Fiorillo ◽  
Alfonso Sorrentino ◽  
Arianna Scala ◽  
Vincenzo Abbate ◽  
Giovanni Dell'aversana Orabona

PurposeThe goal was to improve the quality of the hospitalization process and the management of patients, allowing the reduction of costs and the minimization of the preoperative Length of Hospital Stay (LOS).Design/methodology/approachThe methodology used to improve the quality of the hospitalization process and patient management was Lean Thinking. Therefore, the Lean tools (Value stream map and Ishikawa diagram) were used to identify waste and inefficiencies, improving the process with the implementation of corrective actions. The data was collected through personal observations, patient interviews, brainstorming and from printed medical records of 151 patients undergoing oral cancer surgery in the period from 2006 to 2018.FindingsThe authors identified, through Value Stream Map, waste and inefficiencies during preoperative activities, consequently influencing preoperative LOS, considered the best performance indicator. The main causes were identified through the Ishikawa diagram, allowing reflection on possible solutions. The main corrective action was the introduction of the pre-hospitalization service. A comparative statistical analysis showed the significance of the solutions implemented. The average preoperative LOS decreased from 4.90 to 3.80 days (−22.40%) with a p-value of 0.001.Originality/valueThe methodology allowed to highlight the improvement of the patient hospitalization process with the introduction of the pre-hospitalization service. Therefore, by adopting the culture of continuous improvement, the flow of hospitalization was redrawn. The benefits of the solutions implemented are addressed to the patient in terms of lower LOS and greater service satisfaction and to the hospital for lower patient management costs and improved process quality. This article will be useful for those who need examples on how to apply Lean tools in healthcare.


Author(s):  
Letícia Bianchini de Barros ◽  
Letícia de Camargo Bassi ◽  
Laura Passos Caldas ◽  
Alice Sarantopoulos ◽  
Eliete Boaventura Bargas Zeferino ◽  
...  

Several health services have used lean healthcare to seek continuous improvement of their processes. Therefore, it is important to investigate the evidence available in the literature about the most used lean tools in the health area to review processes and the main results achieved by the researchers. As an integrative literature review methodology was used, it was conducted in five databases, using the descriptor “quality improvement” and the keyword “Lean Healthcare”. A total of 33 complete articles were selected for analysis. The most recurrent tools were: define, measure, analyze, improve and control (DMAIC); value stream map (VSM); suppliers, inputs, process, outputs, customers analysis (SIPOC), Ishikawa Diagram and 5S. Through the analysis of waste, different interventions were implemented and the main results achieved were reduction in times (processing, waiting, cycle and total), costs, workload and increase in the number of calls. The findings enabled the identification of the main lean tools used in the health area to achieve better results. In particular, we highlight recent studies that have explored the lean six sigma healthcare approach. The results, in addition to contributing to the literature, will also assist managers in choosing the best tool to achieve continuous improvement in hospitals and other health services.


2021 ◽  
Vol 19 (1) ◽  
pp. 11-22
Author(s):  
Aditya S. Patil ◽  
Mahesh V. Pisal ◽  
Chandrakant T. Suryavanshi

Lead time is a time gap between initiation and completion of the processes or product. The lead time directly affects productivity. Short lead time results in higher output thus add more value in a given period. Value stream map is an effective tool to describe the overall process from order to delivery. In this study, there is lead time reduction by generation current state and future state for a process using various techniques. Thus, the main aim of this work to enhance production by reduction of lead time. Finally, gain in production, reduction in lead time, and reduction in inventory between the stations are also reported.


2021 ◽  
Vol 343 ◽  
pp. 03001
Author(s):  
Livia Dana Beju ◽  
Stanislaw Legutko

Companies are under increasing pressure from customers, competitors, limited resources, etc. These conditions oblige companies to permanently improve their organizational structure and the activities of all system’s flows. The paper analyses the types of Kanban systems, in the broader context of the enterprise systems. The most important reference architectures were analysed (with the emphasis on the modules dedicated to flow description) and the standards that allow the activity modelling of a manufacturing enterprises. Starting from this context, the paper describes three models of Kanban systems that are specific to companies with different information systems development. Models are: Push production with withdrawal Kanban; Pull production with withdrawal Kanban and production Kanban triggered by Kanban board; Pull production with withdrawal Kanban and production Kanban triggered by the dispatch to the customers. The models are graphically described using Value Stream Map (VMS) symbols. These models are useful in the development and improvement of production flows.


2020 ◽  
Vol 37 (1) ◽  
pp. 33-34

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings The principle of Lean Thinking can boost the competitive advantage of an organization through removing waste that doesn’t benefit the customer. The Dynamic Value Stream Map can help model this process in order to implement Lean Thinking more efficiently and effectively. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guido Noto ◽  
Federico Cosenz

PurposeLean Thinking is an operation management discipline which aims to identify, map and analyse the activities forming a process to detect “value waste” and outline the most effective flow of activities to execute in sequence. Process mapping is often developed in lean projects through the use of the Value Stream Map (VSM). Like many other management tools, the VSM adopts a static and non-systemic perspective in the representation of an organizational process. This may result in the implementation of Lean projects inconsistent with the overall organizational long-term strategy, thus leading to dysfunctional performance. In order to overcome this limit, the paper suggests combining VSM with System Dynamics (SD) modelling.Design/methodology/approachThe paper is based on a review of the literature on VSM. This review is matched with an analysis of SD modelling principles aimed at explaining the practical and theoretical contribution of this approach to operation and strategic management practices. An illustrative case study is then provided to explore the practical implications of the proposed approach.FindingsOur results show that SD modelling provides robust methodological support to VSM and Lean Thinking due to its inner characteristics, namely: simulation, systemic view, explicit link between system structure and behaviour and effective visual representation.Originality/valueThis research proposes a novel approach to design VSMs aimed at fostering a strategic perspective in Lean Thinking applications. Such an approach connects two fields of research and practice – i.e. VSM and SD modelling – which have traditionally been kept separated or, at least, partially combined for specific organizational sub-systems, thereby neglecting a broader strategic view of the entire process system.


2020 ◽  
Vol 12 (15) ◽  
pp. 6053
Author(s):  
Vanessa Rodríguez Cornejo ◽  
Ángel Cervera Paz ◽  
Luis López Molina ◽  
Víctor Pérez-Fernández

This paper studies the relationship between Lean paradigms and the Physical Internet (PI). Lean thinking is a philosophy that allows one to obtain the right amount of the right items in the right place at the right time; it seeks to minimize waste and is flexible to change. In fact, applying Lean not only helps to reduce costs, but it also adds value and improves results across the supply chain. By using a value stream map, we can map the process from the supply chain to the customer, while trying not to add value activities. Such activities include excessive production, overstorage, waiting times poorly adjusted to needs, defects and rejects that require reprocessing, and, finally, unnecessary transport and movements. Storage, waiting times, and unnecessary transport and movements are at the core of the PI. A value stream map can also help to identify empty transport and unnecessary CO2 emissions. This study analyzes value stream mapping as a tool that can enable the objectives of the different Alliance for Logistics Innovation through Collaboration (ALICE) roadmaps for logistics innovation to be achieved, and can also allow PI principles to be reached on the established dates.


2020 ◽  
Author(s):  
Julia Kanai ◽  
Patricia Stella Pucharelli Fontanini

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmed Abideen ◽  
Fazeeda Binti Mohamad

Purpose Lean implementation is vastly incorporated in core manufacturing processes; however, its applicability in the supply chain and service industry is still in its infancy. To acquire performance excellence and thrive in the global competitive market, many firms are adopting newer methodologies. But, there is a stringent need for production simulation systems to analyze supply chains both inbound and outbound. The era of face validation is slowly disappearing. Lean tools and procedures that provide future state assumptions need advanced tools and techniques to measure, quantify, analyze and validate them. The purpose of this study is to enable dynamic quantification and visualization of the future state of a warehouse supply chain value stream map using discrete event simulation (DES) technique. Design/methodology/approach This study aimed to apply an integrated approach of the value stream mapping (VSM) and DES in a Malaysian pharmaceutical production warehouse. The main focus is diverted towards reducing the warehouse supply chain lead time by initially constructing a supply chain value stream map (both present state and future state) and integrating its data in a DES modelling and simulation software to dynamically visualize the changes in future state value stream map. Findings The DES simulation was able to mimic the future state lead time reductions successfully, which assists in better decision-making. Improvements were seen related to total lead time, process time, value and non-value-added percentage. Warehouse performance metrics such as receiving, put away and storage rates were substantially improved along with pallet processing time, worker and forklift throughput usage percentage. Detailed findings are clearly stated at the end of this paper. Research limitations/implications This study is limited to the warehouse environment and further additional process models and functional upgrades in the DES software systems are very much needed to directly visualize and quantify all the possible Lean assumptions such as radio frequency image identification/Andon (Jidoka), 5S, Kanban, Just-In-Time and Heijunka. However, DES has a leading edge in extracting dynamic characteristics out of a static VSM timeline and capture details on discrete events precisely by picturizing facility modification and lead time related to it. Practical implications This paper includes all the fundamental pharmaceutical warehouse supply chain processes and the simulations of the future state VSM in a real-life context by successfully reducing supply chain lead time and allowing managers in inculcating near-optimal decision-making, controlling and coordinating warehouse supply chain activities as a whole. Social implications This integrated approach of DES and VSM can involve managers and top management to support the adoption of anticipated changes. This study also has the potential to engage practitioners, researchers and decision-makers in the warehouse industry. Originality/value This study involves a powerful DES software package that can mimic the real situation as a virtual simulation and all the data and model building are based on a real warehouse scenario in the pharmaceutical industry.


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