Coordination in a multiple producers–distributor supply chain and the value of information

Thomas, Anu; Krishnamoorthy, Mohan; Singh, Gaurav; Venkateswaran, Jayendran

doi:10.1016/j.ijpe.2015.05.020

Cited by 25 publications

(8 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An effective coordination requires effective real-time data and information sharing between the involved actors (Thomas et al 2015). In this case study, a coordination system for data streaming and information sharing between customers and cross-docking is presented and the coordination's benefit is assessed using a discreteevent simulation model.…”

Section: Delivery Postponement In Real-time Processes Coordinationmentioning

confidence: 99%

Value of data in multi-level supply chain decisions: a case study in the Dutch floriculture sector

Viet

Behdani

Bloemhof-Ruwaard

et al. 2020

International Journal of Production Research

View full text Add to dashboard Cite

While many supply chain decisions could take advantage of big data, firms struggle with investments into supply chain analytics since they are not able to assess the application areas and benefits of these initiatives. In this paper, we provide a multi-level perspective to assess the value of supply chain data. We develop a framework that highlights the connections between data characteristics and supply chain decisions with different time horizons (i.e. short-or long-term) as well as different supply chain levels (i.e. individual-firm level or supply-chain level). As data gets more complex in one or more of the 4 V dimensions (i.e. volume, variety, velocity, veracity), firms must assess how to best take advantage of the opportunities offered. We use the Dutch floriculture sector as a case study for our framework in which we highlight four data analytics applications to improve logistics processes. In the applications, we demonstrate how the data is used to support the decisions at different time horizons and supply-chain levels. We find that each of the big data's Vs is required differently according to the decisions' characteristics. Based on the findings, applications in other industries and promising directions for future research are discussed.

show abstract

Section: Delivery Postponement In Real-time Processes Coordinationmentioning

confidence: 99%

Value of data in multi-level supply chain decisions: a case study in the Dutch floriculture sector

Viet

Behdani

Bloemhof-Ruwaard

et al. 2020

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…In our literature review we bring together two streams of research, which are the one on operations pooling and on distributed decision-making. Various collaborative planning schemes have been introduced in the literature (Fransoo, Wouters, and de Kok 2001;Taghipour and Frayret 2013;Thomas et al 2015;Gansterer and Hartl 2018b;Pan et al 2019). These are referred to as horizontal, if participants act at the same levels in a market (Cruijssen, Dullaert, and Fleuren 2007).…”

Section: Literature Reviewmentioning

confidence: 99%

The collaborative multi-level lot-sizing problem with cost synergies

Gansterer

Hartl

2019

International Journal of Production Research

View full text Add to dashboard Cite

Collaborative operations planning is a key element of modern supply chains. We introduce the collaborative multi-level lot-sizing problem with cost synergies. This arises if producers can realise reductions of their costs by providing more than one product in a specific time horizon. Since producers are typically not willing to reveal critical information, we propose a decentralised mechanism, where producers do not have to reveal their individual items costs. Additionally, a Genetic Algorithms-based centralised approach is developed, which we use for benchmarking. Our study shows that this approach comes very close to the a central plan, while in the decentralised one no critical information has to be shared. We compare the results to a myopic upstream planning approach, and show that these results are almost 12% worse than the centralised ones. All solution approaches are assessed on available test instances for problems without cost synergies. For the biggest available instances, the proposed centralised mechanism improves the best known solutions on average by 10.8%. The proposed decentralised mechanism can be applied to other problem classes, where collaborative decision makers aim for good plans under incomplete information.

show abstract

“…This is so because the user needs to cooperate with the investor, in order to use the facilities (intermodal terminals and exportation ports at the second and third echelons, respectively) and the investor needs to cooperate with the user in view of the fact that transportation infrastructure investments are made in order to reduce operating costs of the user. In practice, cooperation is enhanced between facilities within the supply chain, through information exchange and communication; cf., (Bahinipati et al, 2009;Thomas et al, 2015).…”

Section: Business and Management Horizonsmentioning

confidence: 99%

An Optimal Redesign Approach for Optimal Global Supply Chain Redesign: Brazilian Soybean Grain Study

Lopez¹,

Qassim²

2017

BMH

View full text Add to dashboard Cite

Brazil and the United States are the leading soybean grain producing and exporting countries in the world. Although crop production cost is significantly lower in Brazil than in the United States due to more advanced crop production technology, this competitive advantage vanishes in view of the higher logistics costs in Brazil than in the United States, in view of the dominance of road transportation in Brazil, whilst river and rail transportation are prevalent in the United States. In order to regain its competitive advantage, there is a clear need for a redesign of the inland supply chain in Brazil through the use and expansion of existent inland waterways and rail networks. In this paper, an optimal supply chain redesign methodology is presented to achieve the aforesaid objective, with a focus on Mato Grosso which is the largest producer and exporting state in Brazil. This methodology is in fact applicable to multiply echelon global supply chains in general.

show abstract

Coordination in a multiple producers–distributor supply chain and the value of information

Cited by 25 publications

References 23 publications

Value of data in multi-level supply chain decisions: a case study in the Dutch floriculture sector

Value of data in multi-level supply chain decisions: a case study in the Dutch floriculture sector

The collaborative multi-level lot-sizing problem with cost synergies

An Optimal Redesign Approach for Optimal Global Supply Chain Redesign: Brazilian Soybean Grain Study

Contact Info

Product

Resources

About