Control Charts to Support Trust Monitoring in Dynamic Logistics Networks

Part 14: Dynamic Logistics NetworksInternational audienceNowadays, companies to be competitive must develop capabilities that enable them to respond quickly to market needs. According to some managers, the strategy is the development of dynamic logistics networks based on a collaborative environment. However, the absence of mechanisms to detect and even anticipate potential opportunistic behaviour is an obstacle to the proliferation of this way of working. The article aims to understand the role of trust to sustainability of collaborative processes. The paper begins by discussing the trust properties. It is then discussed how statistical control charts can be used to support the trust monitoring of each member within a collaborative ecosystem. The control charts’ tools suggested in this paper are the Z control charts for trust level monitoring and the Zi capacity index. Finally, it is discussed how this approach can be applied to dynamic logistics networks within the context of a collaborative ecosystem

Implementing lean production to promote textile and clothing industry sustainability

Traditionally, Textile and Clothing industry (TCI) is an industry that naturally consumes large amounts of natural resources (e.g. natural fibers, natural dyes, water and energy) and release chemicals into the atmosphere, water and soil. Lean Production (LP) is an organizational methodology which main key idea is "doing more with less". A fundamental difficulty faced by the TCI stakeholders has been in finding out how to implement this methodology efficiently in a sustainable way. Concerned about this problem, a methodology to support the implementation of LP in the TCI, named PESO was developed. This methodology is based on four dimensions: People, Ergonomics, Sustainability and Operational performance (PESO).By including sustainability as a dimension to be taken into account, it is expected to develop and create a natural awareness to consume less. Today in TCI there is a growing concern with sustainability, as shown by the increase in the number of research projects related with this issue. This chapter aims to highlight these developed and developing projects to the light of the Sustainability dimension of the PESO methodology. These were analyzed and discussed to illustrate that though these do not directly address Lean, allied with it could enable sustainability of their production system and processes. This is embedded in the synergy between LP and sustainability, also entitled Lean-Green. By doing this, TCI is on the road to achieve the sustainable development goals, directly, the goal 12, responsible consumption and production.- (undefined

Sketching the Landscape for Lean Digital Transformation

Part 1: Lean ProductionInternational audienceLean management remains the most popular approach to operational excellence within industry. The next wave of industrial improvement is widely considered to be driven by the application of digital technologies. Organizations are seeking to understand how the two approaches can be utilized synergistically. This paper aims to sketch the landscape for current theories and managerial challenges facing Lean and digital transformation based on Lean principles with respect to organizational design, supply chain planning, decision systems and supplier relationships. We raise fundamental questions that should be addressed by future research in the field of digital lean manufacturing and lean digital transformations

Lean and TRIZ: from the problems to creative and sustainable solutions

Lean Thinking philosophy pursuit continuous improvement and continuous innovation towards economic and eco-sustainable growth by new solutions. Such solutions involve eco-efficient products (goods and/or services) and cleaner production to produce them. Nevertheless, sometimes, there are technical contradictions that inhibited companies to achieve good solutions. TRIZ is a methodology capable to solve such contradictions and Lean could use it. Lean and TRIZ are on the road to achieve sustainable development goals, directly, the Goal 12, responsible consumption and production. This paper presents some case studies where this alliance is recognized and credited. These case studies were collected and synthetized by: type of work developed, company/sector, main TRIZ and Lean principles and tools used, problem(s) to solve and products/solutions designed. Building on the results, the authors systematized that Lean and TRIZ impact the design of creative solutions. Many of such solutions were developed in students’ master dissertations that reveals the importance of teaching Lean allied with TRIZ.FCT - Fundação para a Ciência e a Tecnologia (UID/CEC/00319/2019

Sustainability, lean, green and eco-efficiency symbioses

A literature review was conducted aiming at investigating the use of Sustainability, Lean, Green and eco-efficiency concepts, as well as meaningful combinations of those, on the field of Production and Operations Management. The study reports on the scientific papers published in all major journals in the field over the period 2001–2015. A set of 83 papers from 40 journals were selected for further analyzes, aiming at uncovering the existing level of awareness and use of the synergic and symbiotic relationship between Lean Manufacturing and Green Production. The findings show that a modest share of papers, about 30 %, explicitly recognize the Lean-Green joint approach. The same study testifies a clear growth pattern, which is patently reinforced in the last two and a half years, on the number of papers that behold a combined approach towards more efficient and cleaner production activities. The research has highlighted that the Lean-Green link does, in fact, exist and is gaining momentum, but requires further reinforcements from the scientific community, as well as from the companies, to deliver excelled and environmentally sound production systems.FCT Strategic Project PEst2015-2020, reference UID/CEC/00319/2013.info:eu-repo/semantics/publishedVersio

The lean-green BOPSE indicator to assess efficiency and sustainability

Over the years, companies have been progressing their management strategies and transforming their production systems to cope with the pressing environmental challenges and remain competitive, prosper and meet themarket demands. It is no longer enough to only satisfy the demand. The companies face a new transformation on the way of "doing things", being it the way performance and efficiency is improved, or its relationship with all the stakeholders. Lean manufacturing and eco-efficiency propose a setting for progressively reducingwastes and environmental impacts. Although Lean Production was not developed to directly tackle sustainability issues, its principles and practices convey benefits that could be put, unquestionably, under the umbrella of Green and resulting in synergies known as the Lean-Green link. This chapter aims to present the Business Overall Performance and Sustainability Effectiveness (BOPSE) indicator, which is intended to measure the companies' Lean-Green compliance. The BOPSE indicator is an integrated metric on companies' operational performance and sustainability conformity. This indicator exploits the Lean-Green production synergies and is operationalized through an indicator that aggregates and combines Lean production and Green production features. This indicator weaves a number of sustainability issues, spread over its three dimensions, with those encompassed by the Overall Equipment Effectiveness (OEE) indicator. Therefore, the BOPSE indicator intends to assess the effectiveness of the businesses grounded on operational performance and sustainability compliance, aiming at identifying both specific limitations and broader opportunities for the global improvement of the companies. Hence, the BOPSE indicator drives companies in their way to meet some of 17 sustainable development goals, namely the 8th-"Decent work and economic growth", and the 12th-"Responsible consumption and production" sustainable development goals.This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT—Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013