The convergence of lean management and additive manufacturing: Case of manufacturing industries

Lakshmanan, Rohit; Nyamekye, Patricia; Virolainen, Veli-Matti; Piili, Heidi

doi:10.1016/j.clet.2023.100620

Cited by 4 publications

(2 citation statements)

References 53 publications

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“…It first emerged with Toyota's efforts to improve efficiency by doing more with less. It was developed by Taiichi Ohno, the father of the Toyota Production System, in the late 1970s [13]. The philosophy of Lean Management aims to increase efficiency by minimizing all sorts of waste.…”

Section: Introductionmentioning

confidence: 99%

Lean and Sustainable Supplier Selection in the Furniture Industry

Ince,

Tasdemir,

Gazo

2023

Sustainability

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The furniture manufacturing sector faces intricate challenges in pioneering sustainable supply chains, particularly with lean and sustainable supplier selection. This study focused on integrating key performance indicators (KPIs) associated with lean philosophy and sustainability into multi-criteria decision-making (MCDM) methodologies. The study methodically evaluated 18 criteria spanning economic, environmental, and social dimensions to discern supplier suitability in both leanness and sustainability realms. Through the ENTROPY method, weights were systematically assigned to these criteria. Subsequently, Fuzzy ARAS and Fuzzy TOPSIS methods were adeptly employed to comparatively assess supplier options. Noteworthy findings included the paramount importance of the distance to the customer and labor practices in supplier selection. The quality level, however, carried the least weight, mainly due to comparable performance scores among alternatives. Consistently, Fuzzy ARAS and Fuzzy TOPSIS results converged to pinpoint Supplier 2 as the optimal choice, reflecting its superior Ki and CCi metrics. Central to this research was the introduction of a structured and holistic framework for lean and sustainable supplier selection, a significant leap forward that promises to be an invaluable asset for practitioners and scholars in the furniture industry, supply chain management, multi-criteria decision-making, and policymaking.

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Section: Introductionmentioning

confidence: 99%

Lean and Sustainable Supplier Selection in the Furniture Industry

Ince,

Tasdemir,

Gazo

2023

Sustainability

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“…To support Industry 4.0, several aspects that can be developed are BlockChain (BC), Cloud Computing (CC), Big Data Analysis (BDA), Additive Manufacturing (AM), and the Internet of Things (IoT) which are used to collect, analyze, and make decisions from big data in real-time [9]. Companies can utilize a combination of these aspects to create new business models that can access and share customized product information in real-time to minimize several wastes, namely waiting, transportation, and overprocessing [10], [11]. The use of this model is considered to be able to help companies evaluate various scenarios related to the implementation of new business models before applying them in real conditions [12].…”

Section: Introductionmentioning

confidence: 99%

Plastic Packaging Waste Management Through Filling Machine With Agile Reengineering Project Management Approach

Patricia1,

Muslim

2023

JEMIS

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In Indonesia, the number of plastic wastes has reached 66 million tons per year in which 50% of them come from plastic packaging waste. Meanwhile, the recycling of plastic packaging waste only reaches 14%. Hence, it is highly urgent to be aware of plastic packaging waste management in order to tackle this issue. The research discussed the capability and potential of applying digitalization and automation to Smart Retail Technology which focuses on filling machines to manage plastic packaging waste management and increase the competitive advantage. This research uses two main approaches, namely Business Process Reengineering and Agile Project Management to recommend a new business process on ongoing project. The result of the study suggests the urgency to take advantage of the QR Code and Human Machine Interface to maximize the effectiveness and results of implementing the business process. By using simulation, this effort is expected to reach up to 334 consumers each day with up to 42.14% of machine utilization.

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