An optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspective

Carvalho, Andréa N.; Scavarda, Luiz Felipe; Oliveira, Fabrício

doi:10.1590/0103-6513.001417

Cited by 9 publications

(4 citation statements)

References 54 publications

(93 reference statements)

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“…Further engineer-to-order studies have emphasised production planning and control techniques, such as project planning and capacity planning (Adrodegari et al, 2015;Carvalho et al, 2017Carvalho et al, , 2015Rossi et al, 2017), as well as design management and bottleneck management extension to product design and engineering processes (Hinckeldeyn et al, 2014;Wesz et al, 2018). The application of lean practices such as customer involvement and partnership, standardisation, lean purchasing, etc., has been demonstrated to be meaningful if the challenges provided by the engineer-to-order context are taken into account (Birkie and Trucco, 2016;Cannas et al, 2018a).…”

Section: Recent Engineer-to-order Studies On Managerial Approachesmentioning

confidence: 99%

Engineering and production decoupling configurations: An empirical study in the machinery industry

Cannas

Gosling

Pero

et al. 2019

International Journal of Production Economics

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Engineer-to-order supply chains are traditionally considered to perform all engineering and production activities based on specific orders. However, in practice, some engineering and production activities can be speculatively undertaken to reduce the delivery lead time, thus leading to a range of decoupling configurations for both engineering and production processes. The literature rarely addresses this issue, mainly focusing on either the production or the engineering dimensions, which opens a gap between theory and practice. The purpose of this study is to reduce this gap and assess the potential impact of a unique two-dimensional customer order decoupling point (2D-CODP) framework that is inclusive of all the individual literature studies and to evaluate the managerial approaches employed in the different decoupling configurations. To achieve this aim, research using multiple case studies is conducted in the machinery industry. The key results flowing from the empirical analysis are the identification of 4 clusters of decoupling configurations chosen by the different cases and the classification of the managerial approaches employed in the specific decoupling configurations. The main contribution of this paper is that it adds insight regarding the debate on engineer-to-order definitions. Additionally, this paper enriches existing knowledge regarding the contingencies that drive the application of different managerial approaches upstream and downstream of the CODP. Finally, this paper provides cases that exemplify how to use the 2D-CODP framework, guiding managers in understanding the positioning of the product families and choosing how to manage and coordinate activities upstream and downstream of the CODP based on their positioning.

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Section: Recent Engineer-to-order Studies On Managerial Approachesmentioning

confidence: 99%

Engineering and production decoupling configurations: An empirical study in the machinery industry

Cannas

Gosling

Pero

et al. 2019

International Journal of Production Economics

View full text Add to dashboard Cite

show abstract

“…Planning and control techniques 24 (Adrodegari et al, 2015;Ahmadian et al, 2016;Alfieri et al, 2011;Bortolini et al, 2019;Carvalho et al, 2017Carvalho et al, , 2016Carvalho et al, , 2015Dal Borgo and Meneghetti, 2019;Ghiyasinasab et al, 2020;Grabenstetter and Usher, 2014Jiang and Xi, 2019;Kim et al, 2020;Medini, 2015;Mourtzis et al, 2016;Nam et al, 2018;Pacagnella et al, 2019;Poeschl et al, 2019;Riezebos, 2010;Sjøbakk et al, 2015;Telles et al, 2019;Wesz et al, 2018;Yang, 2013) 7 (Bataglin et al, 2020;Cannas et al, 2018;Dallasega et al, 2018;Gejo García et al, 2020;Mahmood et al, 2018;Villar-Fidalgo et al, 2019) 31 Uncertainty/risk management 2012; Reid et al, 2019;Shen et al, 2011;Shurrab et al, 2020aShurrab et al, , 2020bSylla et al, 2020) Industry 4.0 10 ( Dallasega, 2018;Fox and Do, 2013;Kozjek et al, 2020;Oettmeier and Hofmann, 2016;…”

Section: Configuration Of Supply Chain Structurementioning

confidence: 99%

“…Some studies analysed tactical 'capacity planning' (Carvalho et al, 2017(Carvalho et al, , 2016(Carvalho et al, , 2015,…”

Section: Planning and Control Techniquesmentioning

confidence: 99%

A decade of engineering-to-order (2010–2020): Progress and emerging themes

Cannas

Gosling

2021

International Journal of Production Economics

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“…Erlang C was formulated by Danish mathematician Agner Erlang in 1917. The Erlang C formula is used to calculate the headcount required, to process given volume to achieve SLA targets [14]. This gave real-time staffing data.…”

mentioning

confidence: 99%

Automated System for forecasting and capacity management in BPO

Anand,

Simha,

Abhi

2023

EAI Endorsed Trans Energy Web

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In the virtual world, every decision made by executives today need forecasting. Sound forecasting of demand and variations are no longer an extravagance but a necessity, since Operations in the organizations have to deal with the seasonality, sudden changes in capacity management, cost-cutting strategies of the competition, and enormous dynamics of the economy. This paper details the development of a Forecasting and Capacity Planning model to empower operations to consistently forecast incoming volume for scheduling/rostering. A combination of past process-specific data, algorithmic forecasting, Subject Matter Expert (SME) inputs, and modelling results in a forecast with a daily accuracy of up to 85% per month out and approximately 95%-98% per week. The tool leverages the generated forecast to envisage capacity and resource planning. This Capacity Planning tool gives the capacity requirement for the forecasted volume, scheduling, and staffing. The tool has been deployed across 150+ client area. POC (Proof of Concepts) was done across all domains to test the tool and as expected the tools is generating the forecast and schedule with the accuracy of 96.77%.

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An optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspective

Cited by 9 publications

References 54 publications

Engineering and production decoupling configurations: An empirical study in the machinery industry

Engineering and production decoupling configurations: An empirical study in the machinery industry

A decade of engineering-to-order (2010–2020): Progress and emerging themes

Automated System for forecasting and capacity management in BPO

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