Responding to schedule changes in build‐to‐order supply chains

Abstract

This multiple case study explores the reaction strategies suppliers use to respond to short-term dynamics of schedule changes in build-to-order supply chains. We examine the relationship and supply chain processes between a notebook computer manufacturer and five component suppliers. Two distinct reaction strategies emerge from these five buyer-supplier dyads. The ''reduce uncertainty'' strategy emphasizes supply contracts with a high degree of restrictiveness, relatively infrequent schedule revisions, and a high level of form postponement. The ''cope with uncertainty'' strategy emphasizes flexible supply contracts, relatively frequent schedule revisions, and low levels of form postponement. Eight propositions are formulated to understand the linkage between a supplier's power, its short-term process flexibility, and the elements of its reaction strategy. The paper concludes by proposing future research directions. #

Drivers and sources of supply flexibility: an exploratory study

“…changing frequently the production schedule). This is in line with recent empirical studies in build-toorder supply chains (Krajewski et al, 2005). This means that the focal company can reduce the required supply flexibility by changing some practices.…”

Defining and measuring the network flexibility of humanitarian supply chains: insights from the 2015 Nepal earthquake

“…To show this, we implement our framework on a real case, the 2015 Nepal earthquake response, and discuss the implications of results for both theory and practice. (Moon et al 2012) Fleet (F) To change planned or assumed fleets (Slack 2005) Delivery (D) To change planned or assumed delivery dates (Slack 2005) Trans-shipment (T) To move stock between local supplier and demand locations where physical distances between them are small (Grigore 2007) Access and routing (AR) To provide intensive distribution coverage (Naim et al 2006) Information systems (ISF) IT support (IT) To use IT as support for material and information flow control (Moon et al 2012) Information databases (ID) To have means to store and aggregate data (Moon et al 2012) Decision support systems (DSS) To have access to systems that can assist decision-making (Baharmand et al 2015) Resources (RF) Human resources (HR) To have access to human resources with relevant qualifications (Krajewski et al 2005) Local partners (LP) To have local NGOs as operational partners (Santarelli et al 2015) 3 Research design Our paper aims at developing a comparable quantitative measure of HSC flexibility which can help to identify improvement strategies. Our research design follows Bourne et al (2000) who propose four steps for developing a performance measurement system: (a) system design; (b) implementation of measures; (c) use of measures to assess the implementation strategy; and (d) use of measures to challenge strategy.…”

A Hybrid Multi-Objective Programming Framework for Modeling and Optimization of Supply Chain Problems

“…Product assembly begins after this selection. Based on the findings reported in the literature [4], [5]. BOSC is a successful supply chain model that is currently widely in use.…”

“…The flow balance of each distributor e corresponds to constraint (4). The possibility of delivery is dependent on the distributor's technical capabilities (5). Time constraint (6) ensures the terms of delivery are met.…”