Addressing the scheduling of chemical supply chains under demand uncertainty

AIChE Journal ◽  
2006 ◽  
Vol 52 (11) ◽  
pp. 3864-3881 ◽  
Author(s):  
Gonzalo Guillén ◽  
Antonio Espuña ◽  
Luis Puigjaner
Keyword(s):  
Supply Chains ◽  
Demand Uncertainty

Manufacturing SMEs, network governance and global supply chains

2019 ◽  
Vol 27 (1) ◽  
pp. 130-147
Author(s):  
Tony Cragg ◽  
Tom McNamara ◽  
Irena Descubes ◽  
Frank Guerin
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Demand Uncertainty ◽  
Network Governance ◽  
Global Supply Chains ◽  
Informal Networks ◽  
Content Type ◽  
Case Research ◽  
Effective Form ◽  
Supply Chain Governance

Purpose The purpose of this paper is to investigate how small manufacturing firms develop and manage relationships with global suppliers and distributors. In so doing the authors aim to contribute to knowledge about SMEs and supply chain management (SCM). Design/methodology/approach The authors conducted 12 in-depth case studies of SME final assemblers of machinery in the French farm equipment sector. Findings The most effective form of global supply chain governance used by successful SMEs is informal networks involving managers in similar complementary firms, which serve to concatenate links with foreign suppliers and distributors. Research limitations/implications The principal limitation of this research is that it is specific to one sector and therefore questions of transferability are raised. Practical implications The important implication for managers in manufacturing SMEs is that links with other complementary local firms in the same sector need to be developed, leveraged and valued. Originality/value The originality of this case research is that the authors draw on inter-organisational boundaries, power asymmetries and network governance to develop a conceptual framework for the study of SMEs and global supply chains. By focusing on the perceptions of boundary-spanning managers, the authors show how, in circumstances of demand uncertainty, soft network governance is an effective strategic choice.

Reducing the effects of demand uncertainty in single-newsvendor multi-retailer supply chains

2018 ◽  
Vol 57 (4) ◽  
pp. 1082-1102 ◽  
Author(s):  
M.A. Darwish ◽  
M. Alkhedher ◽  
Abdulrahman Alenezi
Keyword(s):  
Supply Chains ◽  
Demand Uncertainty

Exploring information sharing in the extended supply chain: an interdependence perspective

2015 ◽  
Vol 20 (4) ◽  
pp. 455-470 ◽  
Author(s):  
Joakim Kembro ◽  
Kostas Selviaridis
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Sharing ◽  
Demand Uncertainty ◽  
Analytical Framework ◽  
Content Type ◽  
Related Information ◽  
Market Shares ◽  
Shared Information ◽  
Meta Information

Purpose – This paper aims to empirically explore demand-related information sharing in the extended supply chain. Design/methodology/approach – Through a single, embedded case design, a range of methods are used to collect data from companies representing three different supply chain tiers, including focal company, first-tier suppliers and first-tier customers. The collected data are analysed through the theoretical lens of interdependence. Findings – The findings indicate that the supply chain actors adapt information sharing to the pooled, serial or reciprocal type of interdependence. Information sharing is thus increased with key dyadic partners representing, for example, unique offerings and high market shares as percentage of total expenditure/sales. The study also unearths several barriers to information sharing beyond dyadic ties, including problems related to dis-aggregated, misinterpreted and/or incomplete information. Research limitations/implications – The study empirically contributes to the existing literature by exploring information sharing in the extended supply chain and by suggesting different approaches to information sharing depending on the type and intensity of interdependence between supply chain partners. Further, the paper contributes to the existing literature on barriers of information sharing in supply chains by identifying barriers specific to multi-tier information sharing. “Meta-information” (i.e. information about the shared information) is needed to overcome some of the barriers of sharing information in cases of weak, pooled interdependencies in the supply chain. Practical implications – Similar to previous empirical research, this exploratory study indicates that companies, in general, refrain from sharing information beyond dyadic ties. Supply chain managers would instead mostly focus on stronger, reciprocal interdependencies and emphasise dyadic information sharing. To further guide managers, a demand profiling framework considering market share and demand uncertainty is presented. It may be interesting to engage in multi-tier information sharing in particular cases where strong interdependence exists between three or more partners. Originality/value – This study contributes to existing research on information sharing in supply chains by empirically studying information sharing in an extended supply chain, applying interdependence theory as its analytical framework and unearthing several barriers that are specific to multi-tier information sharing.

Inventory Management in Competition Environment Based on Customer Service

2011 ◽  
Vol 58-60 ◽  
pp. 2141-2146
Author(s):  
Xiao Di ◽  
Bao Xing
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Customer Service ◽  
Inventory Management ◽  
Demand Uncertainty ◽  
Management Policy ◽  
Management Decision ◽  
Inventory Level ◽  
On Demand ◽  
Optimal Policies

Based on demand uncertainty, the paper studies inventory management decision of two competing supply chains from the perspective of customer service. The paper mainly discusses two different inventory strategies, which are widely used, that is, consignment stock and VMI, and analyzes the optimal policies under three competitive scenarios, which consist of using consignment stock in both supply chains (CC mode), using VMI in both supply chains (DD mode), and using consignment stock in one supply chain but VMI another (VC mode). The paper compares equilibrium inventory level and profit of supply chain in different competitive modes, and concludes that both supply chains use VMI is equilibrium, which means that when manufacturers have right to choose inventory management policy, they prefer VMI. But it isn’t paradoxical with the phenomenon that consignment stock is common in reality, because manufacturers are forced to use consignment by retailer’s channel power.

Addressing the Design of Chemical Supply Chains under Demand Uncertainty

2006 ◽  
Vol 45 (22) ◽  
pp. 7566-7581 ◽  
Author(s):  
Gonzalo Guillén ◽  
Fernando D. Mele ◽  
Antonio Espuña ◽  
Luis Puigjaner
Keyword(s):  
Supply Chains ◽  
Demand Uncertainty

A simulation–optimization approach for a multi-period, multi-objective supply chain with demand uncertainty and an option contract

SIMULATION ◽  
2018 ◽  
Vol 94 (7) ◽  
pp. 649-662 ◽  
Author(s):  
M Hajian Heidary ◽  
A Aghaie ◽  
A Jalalimanesh
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Demand Uncertainty ◽  
Risk Attitude ◽  
Service Level ◽  
Complex Problem ◽  
Optimization Approach ◽  
Option Contract ◽  
Risk Sensitive ◽  
Objective Model

One of the main challenges in global procurement problems is the uncertainty in the demand and supply sides of supply chains. Besides, decision making in the stochastic supply chains is a complex problem. A powerful technique for decision analysis in complex stochastic problems is simulation. In this paper we propose a simulation-based optimization approach to solve a bi-objective (profit and service level) supply chain with uncertain customer demands and disruption events in the suppliers. The basic assumptions used in this paper are adopted from the multi-period newsvendor problem. In addition, based on the risk attitude of the buyers (retailers), to cope with the uncertainties, they can sign an option contract, reserving additional capacity in the secondary suppliers. Hence, a simulation approach is used to model the behavior (risk attitude) of the buyers. Indeed, because of the demand uncertainty, at the beginning of each contract period, buyers should decide on the amount of ordering from the primary suppliers. The risk attitude of the retailer (as a spectrum) is defined based on the amount of ordering from the primary supplier. Also, we use the Non-dominated Sorting Genetic Algorithm to optimize the bi-objective model. Finally, a numerical example has been solved with the proposed algorithm and the results are reported. The results showed that if the profit is more important than service level, the risk sensitive retailer prefers to show more risk averse behavior.

scholarly journals Optimization of Multi-period Bilevel Supply Chains under Demand Uncertainty

Procedia CIRP ◽  
2016 ◽  
Vol 41 ◽  
pp. 508-513 ◽  
Author(s):  
Tatsushi Nishi ◽  
Okihiro Yoshida
Keyword(s):  
Supply Chains ◽  
Demand Uncertainty
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