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Article
Publication date: 13 January 2022

Enrique Macias de Anda, Rupy Sawhney and Guilherme Luz Tortorella

The purpose of this study is to provide a robust model to bridge the influence of national culture (NC) on lean production (LP), identifying relationships among their elements and…

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Abstract

Purpose

The purpose of this study is to provide a robust model to bridge the influence of national culture (NC) on lean production (LP), identifying relationships among their elements and investigating the degree of influence.

Design/methodology/approach

The culturally sensitive lean production model (CSLPM) is used as a framework to develop a survey questionnaire that captures the information to analyze using partial least squares structural equation modeling (PLS-SEM). A case study to validate the model is presented from a subsidiary with operations in Mexico (MX) and the USA.

Findings

The CSLPM provides a robust framework for the measurement of the interaction between LP and NC. Multi-group analysis facilitated the comparison among the different groups (MX and USA), highlighting the differences of culture and the corresponding LP implementation within the same company.

Research limitations/implications

The instrument was validated only within two countries and one organization. A higher sample of respondents, countries and organizations could validate the relationships established and the replication of the model.

Practical implications

The CSLPM can be used for assessment of the evolution of organizations, highlighting strengths and weaknesses of a particular culture when implementing LP, providing focal points for research and training efforts.

Originality/value

The CSLPM is a robust instrument to measure expectations for LP practices according to their company’s geographical context. The incorporation of higher order variables and mixed directionality within the variables presented a novel approach to PLS-SEM.

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Article
Publication date: 15 May 2017

Ninad Pradhan, Dinesh Patlolla and Rupy Sawhney

The purpose of this paper is to present an optimised scheduling system for facility mangers and custodians. Experience-driven systems currently in use can result in poor ratings…

638

Abstract

Purpose

The purpose of this paper is to present an optimised scheduling system for facility mangers and custodians. Experience-driven systems currently in use can result in poor ratings for facility maintenance metrics such as overtime hours, utilisation difference and labour costs.

Design/methodology/approach

The cleaning schedule and custodian work assignments defined by the manager are simulated for the entire year. Clustering and routing algorithms assign work to custodians equally and find optimal cleaning routes. The manager may use the resulting feedback to iteratively find a suitable schedule which lowers costs.

Findings

Data were collected at a large university building in consultation with facility management and custodians. Results indicate a significant reduction in overtime hours, improvement in utilisation difference and a lowering of labour costs.

Research limitations/implications

The methodology was validated at a single building in the facility. Variable selection and optimisation model design will benefit from a comprehensive case study which spans the entire facility.

Practical implications

The methodology may easily be integrated with existing facility maintenance software, adding to it features such as a manager scheduling interface with feedback on critical cleaning metrics and a custodian user interface which highlights room visitation routes and task times.

Originality/value

This study acts on the need for facility cleaning labour cost management highlighted in literature. It achieves its goals using a novel combination of scheduling, simulation and optimisation. It is designed to empower key decision-makers, i.e. facility managers and custodians, with better information.

Details

Journal of Facilities Management, vol. 15 no. 2
Type: Research Article
ISSN: 1472-5967

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