Real-time decision problems: an operational research perspective

1997 ◽  
Vol 48 (2) ◽  
pp. 162-174 ◽  
Author(s):  
R Séguin ◽  
J-Y Potvin ◽  
M Gendreau ◽  
T G Crainic ◽  
P Marcotte
1997 ◽  
Vol 48 (2) ◽  
pp. 162
Author(s):  
R. Seguin ◽  
J-Y. Potvin ◽  
M. Gendreau ◽  
T. G. Crainic ◽  
P. Marcotte

1997 ◽  
Vol 48 (2) ◽  
pp. 162-174 ◽  
Author(s):  
R Séguin ◽  
J-Y Potvin ◽  
M Gendreau ◽  
T G Crainic ◽  
P Marcotte

Author(s):  
A Taskin Gümüs ◽  
A Fuat Güneri

Historically, the echelons of the supply chain, warehouse, distributors, retailers, etc., have been managed independently, buffered by large inventories. Increasing competitive pressures and market globalization are forcing firms to develop supply chains that can quickly respond to customer needs. To remain competitive and decrease inventory, these firms must use multi-echelon inventory management interactively, while reducing operating costs and improving customer service. The current paper reviews the literature, addressing multiechelon inventory management in supply chains from 1996 to 2005. The behaviour of the papers against demand and lead-time uncertainty is the key analysis point of the literature review presented here and it is conducted from an operational research point of view. Finally, directions for future research are suggested.


2019 ◽  
Vol 276 (3) ◽  
pp. 796-815 ◽  
Author(s):  
Nils Boysen ◽  
Dirk Briskorn ◽  
Stefan Fedtke ◽  
Marcel Schmickerath

2016 ◽  
Vol 19 (1) ◽  
pp. 84-100 ◽  
Author(s):  
Dave Crick ◽  
James Crick

Purpose – This study aims to report on an investigation into decision-making leading to a UK firm’s first export order. It demonstrates the application of appreciative inquiry (AI) as an underutilised research method in marketing investigations. Design/methodology/approach – An AI research approach was undertaken in a firm that had not started exporting at the commencement of the study whereby the interventionist approach allowed the management team to overcome negative perceptions in their decision-making. From a research perspective, marketing decision-making could be understood in real time as opposed to in hindsight. Findings – While the key decision-maker is likely to be the owner/manager in small newly internationalising firms, a variety of factors will affect the decision to start exporting including the influence of the management team. In particular, the management team’s perceptions towards a combination of effectuation- and causation-based decision-making where risk/reward considerations in exploiting various international marketing opportunities are undertaken in light of perceived affordable losses, as well as against evolving objectives. Originality/value – The contribution is to demonstrate the AI methodology, which to date has received attention in management domains other than marketing; it offers an interventionist approach to help managers overcome barriers and move positively forward in decision-making. It offers researchers an opportunity to understand marketing decision-making in real time.


OR Spectrum ◽  
2020 ◽  
Author(s):  
Nils Boysen ◽  
Stefan Fedtke ◽  
Stefan Schwerdfeger

Abstract In the wake of e-commerce and its successful diffusion in most commercial activities, last-mile distribution causes more and more trouble in urban areas all around the globe. Growing parcel volumes to be delivered toward customer homes increase the number of delivery vans entering the city centers and thus add to congestion, pollution, and negative health impact. Therefore, it is anything but surprising that in recent years many novel delivery concepts on the last mile have been innovated. Among the most prominent are unmanned aerial vehicles (drones) and autonomous delivery robots taking over parcel delivery. This paper surveys established and novel last-mile concepts and puts special emphasis on the decision problems to be solved when setting up and operating each concept. To do so, we systematically record the alternative delivery concepts in a compact notation scheme, discuss the most important decision problems, and survey existing research on operations research methods solving these problems. Furthermore, we elaborate promising future research avenues.


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