Bi-objective project portfolio selection in Lean Six Sigma

Kalashnikov, Vyacheslav V.; Benita, Francisco; López-Ramos, Francisco; Hernández-Luna, Alberto A.

doi:10.1016/j.ijpe.2017.01.015

Cited by 51 publications

(34 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The proposed problem under the LSS project selection framework was studied (Kalashnikov, et al, 2017). By investigating the choice of different types of LSS projects, we study the environmental impact and identify the conditions.…”

Section: Mathematical Model Developmentmentioning

confidence: 99%

Green implementation of Lean Six Sigma projects in the manufacturing sector

Shokri

2020

IJLSS

View full text Add to dashboard Cite

Purpose Historically, Lean Six Sigma (LSS) implementation has demonstrated a great deal of enhancement to process efficiency, profitability and customer satisfaction. The emerging market pressure for developing better quality, cheaper and greener products invokes a change of view in LSS economical effectiveness. The purpose of this study is to identify under which condition the final output of LSS projects with traditional strategic benefits are more environmentally friendly. Design/methodology/approach To investigate the choice of different types of LSS projects, the environmental impact under different conditions and the comparison of those conditions, the author developed an analytical mathematical model and analysed four different propositions. Findings The final price and production volume were recommended as mediating factors to leverage an LSS project to achieve a greener, customised and finance-oriented outputs. Research limitations/implications This research contributes to existing LSS research and knowledge development via promoting the different perspectives of LSS and environmental sustainability integration. Practical implications This study further enables managers to identify the cut-off point in relation to the production volume and finished prices to leverage the expected financial outputs and environmental impact of the LSS project. This would potentially promote a green LSS project in both implementation and output, alongside its traditional values. Originality/value This study uses a modelling approach to identify the conditions under which the actual methodology of the LSS project could be green via less energy consumption with consideration of expected LSS values and outcomes.

show abstract

Section: Mathematical Model Developmentmentioning

confidence: 99%

Green implementation of Lean Six Sigma projects in the manufacturing sector

Shokri

2020

IJLSS

View full text Add to dashboard Cite

show abstract

“…The purpose of developing these techniques is a systematic collection of knowledge and expert judgments in specialized fields and generate the required data for more complex models. (Kalashnikov, et al, 2017) Game Theory (Winkofsky, et al, 1981) (Badri & Davis, 2001) Group Decision Techniques (Winkofsky, et al, 1981) (Cook & Seifford, 1982) Statistical Approaches (Mathieu & Gibson, 1993) Expert Systems (Liberatore & Stylianou, 1993) Decision Process Analysis (Winkofsky, et al, 1981) (Schmidt, 1993) The Monte Carlo simulation uses random numbers that are generated by probability distributions.…”

Section: Decision Treementioning

confidence: 99%

Selecting a portfolio of projects considering both optimization and balance of sub-portfolios

Raad¹,

Shirazi²,

Ghodsypour³

2020

10.5267/j.jpm

View full text Add to dashboard Cite

Over the past four decades, portfolio selection has been one of the most important concerns of researchers, project managers, project-oriented companies, and public agencies around the world. Although numerous studies have been done in this field, still there is a room for more improvement in both theory and practice. One of the yet unspoiled topics in this field is improving and balancing the efficiency of sub-portfolios while paying attention to portfolio optimization. This study employs data-mining tools to categorize projects into sub-portfolios and rank them. Multiple Criteria Decision Making (MCDM) methods are also used to weigh the criteria on which the ranking process is based. Finally, a novel multi-objective model is designed to optimize the efficiency of sub-portfolios and the gain of the main portfolio. The model is solved by NSGA II algorithm. This study introduces a hybrid framework by which project portfolio selection process can be carried out regarding strategic alignment, cost, and risk.

show abstract

“…It was evident from recent research studies that despite clear potential significant impact, LSS deployment in the automotive sector to reduce scarp rate suffers with neglect in both practice and research [53]. By utilising the LSS five-phased systematic methodology of DMAIC (Define, Measure, Analysis, Improve, Control) manufacturing SMEs can tackle any process variation and defect including scrap level [31,49,[53][54][55][56]. This standard improvement model is extremely helpful for any organisation because of providing a systematic road map [5].…”

Section: Lss In Manufacturing Smesmentioning

confidence: 99%

Reducing the Scrap Rate in Manufacturing SMEs Through Lean Six Sigma Methodology: An Action Research

Shokri

2019

IEEE Eng. Manag. Rev.

View full text Add to dashboard Cite

The aim of this project was to investigate operational benefits of the Lean Six Sigma (LSS) methodology to reduce the scrap rate in the production line of a first tier supplier of automotive sector. This is an action research case study using LSS methodology in fully automated subprocess of the manufacturers. The implementation of LSS methodology had an effective and significant impact on the scrap rate reduction with increased First Run Yield (FRY) with significant financial impact at this scale. The research investigation needs to be fully controlled by the team in order to correctly gauge the effect of any changes made to the process. This action research can be replicated in other sub-processes of the production line and other processes of the company. This project addresses novelty about effectiveness of LSS methodology to reduce scrap rate and add value to automated processes in first-tier manufacturing SMEs supplying automotive sector. The project had greater saving than expected by the managers at £98k per annum. The approach of this research project combines proven statistical tools with some basic but effective lean tools to be applied in an original sequence in order to design robust product and match manufacturing capabilities.

show abstract

Bi-objective project portfolio selection in Lean Six Sigma

Cited by 51 publications

References 11 publications

Green implementation of Lean Six Sigma projects in the manufacturing sector

Green implementation of Lean Six Sigma projects in the manufacturing sector

Selecting a portfolio of projects considering both optimization and balance of sub-portfolios

Reducing the Scrap Rate in Manufacturing SMEs Through Lean Six Sigma Methodology: An Action Research

Contact Info

Product

Resources

About