LOGISTICS PROJECT PLANNING UNDER CONDITIONS OF RISK AND UNCERTAINTY

2017 ◽  
Vol 68 (1) ◽  
pp. 89-102 ◽  
Author(s):  
Iwona Pisz ◽  
Iwona Łapuńka
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Incomplete Information ◽  
Practical Knowledge ◽  
Complete Information ◽  
Project Planning ◽  
Decision Making Process ◽  
Risk And Uncertainty ◽  
New Knowledge

The paper discusses highly important issues related to the practice of logistics project planning under conditions of certainty, risk, and uncertainty. This process requires the use of a variety of planning information (complete or incomplete, express or implied) as well as the generation of new knowledge. The decision-making process takes place in a deterministic or an nondeterministic situation; the former involves complete information (i.e., certainty) and the latter incomplete information (i.e., risk and uncertainty). Becoming acquainted with the discussed issues provides valuable practical knowledge that may be helpful in making important decisions when formulating concepts and models of logistics projects planning undertaken by a single enterprise or a supply chain.

Bicameral Negotiations: The Navette System in France

1995 ◽  
Vol 25 (1) ◽  
pp. 101-129 ◽  
Author(s):  
George Tsebelis ◽  
Jeannette Money
Keyword(s):  
Decision Making ◽  
Incomplete Information ◽  
Complete Information ◽  
Veto Power ◽  
The Political ◽  
Decision Making Process ◽  
Process Data ◽  
Fifth Republic ◽  
Political Implications ◽  
Number Of Iterations

This article investigates the decision-making process in the French bicameral legislature: the navette system. In this system, the legislation shuttles between the two houses until agreement is reached or until a stopping rule is applied. We examine the interaction between upper and lower houses as a bargaining game with complete and one-sided incomplete information.The complete information model permits us to evaluate the political implications of the navette's various institutional features (where the bill is first introduced, number of iterations, final veto power, etc.). The incomplete information approach permits us to predict the duration of the navette process. Data from the French Fifth Republic in the 1959–86 period corroborate the conclusions of the model. Because the navette system is the most commonly used method of decision making in bicameral legislatures, the model can be usefully generalized to other countries.

IT in Manufacturing and Logistics for SCM and OP in SMEs

2020 ◽  
pp. 109-117 ◽  
Author(s):  
Wei Hung ◽  
Yao-Wen Hsu
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Supply Chain ◽  
Statistical Analysis ◽  
Organizational Performance ◽  
Manufacturing Sector ◽  
Decision Making Process ◽  
Chain Management ◽  
Modern Age ◽  
Wide Range

This analysis focusses on the effects of Information Technology (IT) and how it significantly affects the Supply Chain Management (SCM) in logistics and manufacturing-Small and Medium-Sized Enterprises (SMEs). Apart from that, our purpose is to evaluate how IT affects the Organizational Performance (OP) in the enterprises. Irrespective of the fact that IT cannot be applied in every enterprise, the findings in this research are based on the statistical analysis which shows that a wide-range of workforce in the modern age has adopted the initiative considering the complexities of SCM and mostly to maximize OP in the enterprises. This research was done based on the analysis of SMEs in logistics and manufacturing sector in India. The sample used to conduct this research makes it valid to draw assumptions that managers and CEOs are responsible for coordinating enterprise operations in SMEs. The evaluation in this research shows that the workforce is obliged to formulate strategies to allow employees to enhance their competency of IT. In that regard, the findings are essential for the enhancement of the decision-making process, SCM and OP.

Predictive Analytics to Support Clinical Decision Making

2020 ◽  
pp. 271-281
Author(s):  
Nilmini Wickramasinghe
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Predictive Analytics ◽  
Complete Information ◽  
Clinical Decision ◽  
Decision Making Process ◽  
The Difference

A key activity in healthcare is clinical decision making. This decision making typically has to be made rapidly and often without complete information. Moreover, the consequences of these decisions could be far reaching including the difference between life or death. Today analytics can assist in clinical decision making as the following chapter highlights. However, to gain the most from any type of analytics, it is first necessary to fully understand the dynamics around the clinical decision making process.

scholarly journals Capacity Allocation and Compensation in a Dual-Channel Supply Chain under Uncertain Environment

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Jiaquan Yang ◽  
Xumei Zhang ◽  
Yating Huang ◽  
Jiafu Su ◽  
Sang-Bing Tsai ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Expected Profit ◽  
Decision Making Process ◽  
Direct Selling ◽  
Channel Conflict ◽  
Dual Channel ◽  
Decentralized Decision Making ◽  
Capacity Uncertainty ◽  
Dual Channel Supply Chain

The dual-channel supply chain is widely adopted by main manufacturers, potentially incurring channel conflicts between the traditional retail channel which is owned by the independent retailer and the online channel which is directly managed by the manufacturer. The purpose of this paper is to deal with the scenario where channel conflicts may arise under production capacity uncertainty, when the manufacturer tends to privilege the direct selling channel over the retail selling channel. To achieve the goal, this paper establishes a Stackelberg game model consisting of a manufacturer and a retailer, studies the scenario where the manufacturer satisfies the direct selling channel first in the presence of capacity uncertainty, employs the decision optimization and the backward induction method to find the optimal inventory decision in the direct selling channel and the optimal order quantity decision making in the retail selling channel, and designs a compensation mechanism aiming to coordinate the channel conflict in the decentralized decision-making process. Results show that the optimal decisions aiming to maximize the expected profit of each supply chain member are not able to maximize the expected profit of entire dual-channel supply chain. However, when the manufacturer compensates the retailer’s profit loss based on the unsatisfied order and, in the meantime, adjusts the wholesale price to prevent the retailer which obtains the compensation from increasing order significantly, the compensation mechanism can coordinate the decision of each supply chain member, mitigate the channel conflict, maximize the expected profit of entire dual-channel supply chain, and achieve the Pareto improvement of supply chain members’ expected profit in the decentralized decision-making process.

scholarly journals Integrating IVHM and Asset Design

2020 ◽  
Vol 7 (2) ◽  
Author(s):  
Ian K Jennions ◽  
Octavian Niculita ◽  
Manuel Esperon-Miguez
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
System Design ◽  
Design Process ◽  
Systems Engineering ◽  
Health Management ◽  
Decision Making Process ◽  
Fully Integrated ◽  
Trade Offs ◽  
Causes Of Failure

Integrated Vehicle Health Management (IVHM) describes a set of capabilities that enable effective and efficient maintenance and operation of the target vehicle. It accounts for the collecting of data, conducting analysis, and supporting the decision-making process for sustainment and operation. The design of IVHM systems endeavours to account for all causes of failure in a disciplined, systems engineering, manner. With industry striving to reduce through-life cost, IVHM is a powerful tool to give forewarning of impending failure and hence control over the outcome. Benefits have been realised from this approach across a number of different sectors but, hindering our ability to realise further benefit from this maturing technology, is the fact that IVHM is still treated as added on to the design of the asset, rather than being a sub-system in its own right, fully integrated with the asset design. The elevation and integration of IVHM in this way will enable architectures to be chosen that accommodate health ready sub-systems from the supply chain and design trade-offs to be made, to name but two major benefits. Barriers to IVHM being integrated with the asset design are examined in this paper. The paper presents progress in overcoming them, and suggests potential solutions for those that remain. It addresses the IVHM system design from a systems engineering perspective and the integration with the asset design will be described within an industrial design process.

scholarly journals Marketing Based Decision Making Process in Engineering Design

2018 ◽  
Vol 7 (4.36) ◽  
pp. 854
Author(s):  
K. Palani Raj ◽  
G. Veeramani
Keyword(s):  
Decision Making ◽  
Engineering Design ◽  
Design Process ◽  
Consumer Behaviour ◽  
Decision Making Process ◽  
Risk And Uncertainty ◽  
Design Decisions ◽  
Different Types ◽  
Important Study ◽  
Process Manufacturing

Marketing based decision making process in engineering design is an important study required for industries. How to take efficient decision in design that influence marketing? Most of the engineering design decisions are based on consumer behaviour. Decision making in risk and uncertainty in engineering design is an important phenomenon. Cost and time are the two important factors that results loss because of inefficient decision and it affects marketing. Problems involved in marketing based engineering design and decision making process in solving problems is elaborately studied in this journal. How to choose a design in various alternatives, design process, manufacturing feasibility, material and methodology are the important factors that influences decision making in engineering design for marketing. Different types of theories in decision making process that helps in taking proper decision were studied in this journal. This study is based on data taken from various Research & Development centre in Industries. 

Managing the Decision-Making Process during Project Planning

1999 ◽  
Vol 15 (2) ◽  
pp. 79-84 ◽  
Author(s):  
Alexander Laufer ◽  
Hugh Woodward ◽  
Gregory A. Howell
Keyword(s):  
Decision Making ◽  
Project Planning ◽  
Decision Making Process
Sign in / Sign up

Export Citation Format

Share Document