The effect of transfer lot size on manufacturing lead time: a stochastic analysis

Clarissa Fullin Barco and Moacir Godinho Filho

European Journal of Industrial Engineering, 2021, vol. 15, issue 6, 825-851

Abstract: This paper aims to explore, in a quantitative way, the effect of production and transfer lot size on the manufacturing lead time in an environment subject to uncertainties. In order to achieve this objective, a Monte Carlo simulation model is proposed, and several scenarios are analysed, considering six shop-floor variables. The results demonstrate that transfer lot size has little effect on lead time when operating with a manufacturing lot size away from optimal lot size. In order to obtain an excellent performance concerning lead time, it is first necessary to reduce the manufacturing lot size before making efforts to reduce transfer lot size. The results also show that adopting an optimal manufacturing lot size allows the production system to be more stable, allowing shorter lead times. The effect of a supplier manufacturing lot size smaller than optimal lot size on retailer safety stock is disastrous. This result is worse when the desired cycle service level and the demand coefficient of variability are high. [Submitted: 9 November 2019; Accepted: 28 November 2020]

Keywords: manufacturing lead time; transfer lot; manufacturing lot; safety stocks; uncertainty; Monte Carlo simulation. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=118502 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:eujine:v:15:y:2021:i:6:p:825-851

Access Statistics for this article

More articles in European Journal of Industrial Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().