A systems engineering-driven decomposition approach for large-scale industrial decision-making processes

Neuroeconomics is the study of the neurobiological bases of subjective preferences and choices. We present a novel framework that synthesizes findings from the literatures on neuroeconomics and creativity to provide a neurobiological description of creative cognition. It proposes that value-based decision-making processes and activity in the locus coeruleus-norepinephrine (LC-NE) neuromodulatory system underlie creative cognition, as well as the large-scale brain network dynamics shown to be associated with creativity. This framework allows us to re-conceptualize creative cognition as driven by value-based decision making, in the process providing several falsifiable hypotheses that can further our understanding of creativity, decision making, and brain network dynamics.

Mobilisation and Institutionalisation in Decision-making Processes around Large Scale Infrastructure

European Discourses on Environmental Policy ◽

10.4324/9780429456954-10 ◽

2018 ◽

pp. 197-210

Author(s):

Paul Pestman

Keyword(s):

Decision Making ◽

Large Scale ◽

Analyzing the IS 2010 Model Curriculum for Evidence of the Systems Approach

International Journal of Information Technologies and Systems Approach ◽

10.4018/ijitsa.2016010104 ◽

2016 ◽

Vol 9 (1) ◽

pp. 54-66

Author(s):

George Schell ◽

Richard Mathieu

Keyword(s):

Decision Making ◽

Information Systems ◽

Systems Engineering ◽

Large Scale ◽

Systems Approach ◽

Business Schools ◽

Learning Objectives ◽

Degree Programs ◽

Course Content ◽

Curriculum Guidelines

The systems approach is frequently associated with solving large-scale, complex problems and is regarded as a foundation for systems engineering and decision-making. Components of the systems approach are too frequently missing from information systems programs in business schools. The purpose of this paper is to determine the degree to which the IS 2010: Curriculum Guidelines for Undergraduate Degree Programs contains the systems approach in its learning objectives as well as specific course content. By examining the curriculum guidelines a preliminary judgment can be made concerning evidence of the systems approach having a broad implementation across information systems programs. The paper concludes with a discussion of the importance of the systems approach in the IS curriculum and establishing the systems approach as a theme in the curriculum of IS programs.

HTS Promiscuity Analyses for Accelerating Decision Making

CrossRef Listing of Deleted DOIs ◽

10.1177/1087057111407763 ◽

2011 ◽

Vol 16 (7) ◽

pp. 765-774 ◽

Cited By ~ 11

Author(s):

Alexander Böcker ◽

Pierre R. Bonneau ◽

Paul J. Edwards

Keyword(s):

Decision Making ◽

High Throughput ◽

High Throughput Screening ◽

Large Scale ◽

Data Repositories ◽

Target Family ◽

The One

Frequent hitters are compounds that are detected as a “hit” in multiple high-throughput screening (HTS) assays. Such behavior is specific (e.g., target family related) or unspecific (e.g., reactive compounds) or can result from a combination of such behaviors. Detecting such hits while predicting the underlying reason behind their promiscuous behavior is desirable because it provides valuable information not only about the compounds themselves but also about the assay methodology and target classes at hand. This information can also greatly reduce cost and time during HTS hit profiling. The present study exemplifies how to mine large HTS data repositories, such as the one at Boehringer Ingelheim, to identify frequent hitters, gain further insights into the causes of promiscuous behavior, and generate models for predicting promiscuous compounds. Applications of this approach are demonstrated using two recent large-scale HTS assays. The authors believe this analysis and its concrete applications are valuable tools for streamlining and accelerating decision-making processes during the course of hit discovery.

Interdisciplinarily Exploring the Most Potential IoT Technology Determinants in the Omnichannel E-Commerce Purchasing Decision-Making Processes

Applied Sciences ◽

10.3390/app10020603 ◽

2020 ◽

Vol 10 (2) ◽

pp. 603 ◽

Cited By ~ 1

Author(s):

Ming-Yuan Hsieh

Keyword(s):

Decision Making ◽

Large Scale ◽

Cognitive Theory ◽

Personal Characteristics ◽

Financial Status ◽

Purchasing Decision ◽

Network Process ◽

Technological Acceptance Model ◽

Acceptance Model

This research has interdisciplinarily employed the “SoLoMo” concept of Intern of Things (IoT) technology, Social Cognitive Theory and the Technological Acceptance Model (TAM) into the hierarchical Analytical Network Process (ANP) model of qualitative analysis in order to concretively construct the most comprehensive IoT technology model in the purchasing decision-making process of the omnichannel e-commerce model. Statistically, this research not only employed the Factor Analysis (FA) approach of quantitative analysis for systematically assaying the data results from the dispensation of large-scale questionnaires to refine the commonality of each sub-criterion with higher research representativeness and validity but it also applied the Fuzzy Set Theory (FST) and Grey Relation Analysis (GRA) methods of qualitative analyses for in-depth analytically evaluate the data results from the operation of expert’s questionnaires to refine the measured consequences of the ANP model with higher research accuracy and reliability. Conclusively, the “Purchasing Original Intentions” has been the most critical purchasing factors in the omnichannel e-commerce purchasing decision-making processes which means current omnichannel e-commerce consumers have commenced to firstly and rationally think over before making purchasing decisions and actions without any irrational consumptions. Conclusively, “Purchasing Importance-Purchasing Importance (PI)”, “Purchasing Financial Status-Purchasing Financial Status (PFS)” and “Purchaser’s Personality-Purchaser’s Personality (PP)” were the most potential IoT technology determinants in the omnichannel e-commerce purchasing decision-making processes because (1) omnichannel e-commerce consumers have been rationally focused on what they demand without traditional emotional purchasing consumptions, (2) omnichannel e-commerce consumers have rationally considered their financial resources without impulsive purchasing consumptions and (3) omnichannel e-commerce consumers have rationally respected their personal characteristics and individual value without blindly purchasing consumptions.

Framework for advanced supply chain planning: Large-scale petrochemical companies

Corporate Ownership and Control ◽

10.22495/cocv8i3c4p3 ◽

2011 ◽

Vol 8 (3) ◽

pp. 452-463 ◽

Cited By ~ 1

Author(s):

Johan J. Louw ◽

Wessel Pienaar

Keyword(s):

Decision Making ◽

Supply Chain ◽

Supply Chains ◽

Customer Service ◽

Large Scale ◽

Supply Chain Planning ◽

Proactive Approach ◽

Logistics Networks ◽

Advanced Planning ◽

Most petrochemical companies are undergoing radical changes. The markets being served have expanded globally, customer service expectations have increased, and demand has become much more volatile and hence less predictable. The resulting product supply chains evolve/develop over time, with integrating decision-making processes and advanced planning practices becoming more prominent. A proactive approach with longer time horizons becomes the norm for excellence. Refinery expansion and highly integrated/sophisticated manufacturing technology have also contributed to increased interdependency within and between supply chains (upstream to feed sources, downstream to end consumer, and between logistics networks). These developments resulted in what is termed advance supply chain planning. Notwithstanding its unique differences, the petrochemical industry still has a lot of ground to cover before it can reach some of the advance supply chain planning benefits reported in other industries. This article presents what is believed to be an appropriate supply chain planning approach/framework for decision making in large-scale, integrated petrochemical companies.

Tackling the drivers of child undernutrition in developing countries: what works and how should interventions be designed?

Public Health Nutrition ◽

10.1017/s1368980010001795 ◽

2010 ◽

Vol 14 (4) ◽

pp. 688-693 ◽

Cited By ~ 8

Author(s):

Pat Pridmore ◽

Roy Carr-Hill

Keyword(s):

Decision Making ◽

Developing Countries ◽

Large Scale ◽

Paris Declaration ◽

Active Involvement ◽

Child Undernutrition ◽

Country Level ◽

Effective Interventions ◽

Wide Range ◽

AbstractObjectiveThe present paper presents a synthesis of available evidence to support action on the interventions that can effectively address the main drivers of child undernutrition in developing countries. It also discusses how interventions should be designed and identifies policy-relevant areas for further research.DesignA structured literature review of fifty-eight controlled evaluations and studies in developing countries were selected because they are methodologically sound, recent (reported within the past 10 years), report on nutritional status, cover a wide range of interventions and are implemented by a range of different agencies.SettingIndirect interventions in developing countries, which address the underlying and basic causes of child undernutrition and can potentially be implemented in the short to medium term.SubjectsChildren under 5 years of age and their mothers across a range of developing countries.ResultsEvidence has now accumulated to guide action on a range of indirect interventions that can reduce child undernutrition, but for all these interventions context is all-important. There is less evidence on how these interventions can be effectively implemented on a large scale.ConclusionsEfforts should be directed towards improving implementation of effective interventions on a large scale. Donors need to keep commitments both in dollar terms and in terms of the Paris Declaration so that the push for improved nutrition does not become donor driven. At the country level, there is a need for enabling governance structures, institutions and evidence-based decision making. Within countries there is a need for well-trained personnel with delegated authority, accountable to local people. It is essential for chains of accountability to be transparent and for active involvement of households in decision-making processes.

Design and Evaluation of Simulations for the Development of Complex Decision-Making Skills

Industry and Higher Education ◽

10.5367/000000002101296351 ◽

2002 ◽

Vol 16 (4) ◽

pp. 239-248 ◽

Cited By ~ 2

Author(s):

Roger Hartley ◽

Glen Varley

Keyword(s):

Decision Making ◽

Police Officers ◽

Large Scale ◽

Evaluation Study ◽

Public Order ◽

Event Management ◽

Complex Decision Making ◽

Computer Based ◽

Complex Decision

The management of large-scale incidents, such as demonstrations that can affect public order, requires complex decision making. In association with the London Metropolitan Police a computer-based simulation (CACTUS) was designed for improving the strategic and tactical management of public order events by senior police officers. It incorporates a digitized map with active (iconized) police, crowd and hostile agents able to navigate the map and interact autonomously in ways that simulate aggression and disorder if the police resources and their instructions are not managed with some skill. Adaptive training scenarios were designed in CACTUS by the trainer/facilitators covering planning, event management and debriefing. An evaluation study collected audio and video records of the training sessions and these data gave useful insights into the decision-making processes and how the CACTUS simulation, through its design features, became a dynamic mediational tool in developing such skills.

Decision Making for Sustainable Technical Applications with the SMH Approach

Sustainability ◽

10.3390/su13168702 ◽

2021 ◽

Vol 13 (16) ◽

pp. 8702

Author(s):

Philipp Kranabitl ◽

Clemens Faustmann ◽

Hannes Hick

Keyword(s):

Decision Making ◽

Systems Engineering ◽

Human Factor ◽

Chief Executive ◽

Factor H ◽

Sustainable Solutions ◽

S Model ◽

Model Based Systems Engineering ◽

Technical Products

Decision-making is becoming more and more challenging due to the rise in complexity of modern technical products. A lot of industries are currently at a crossroads, and a wrong strategic or technical decision may have disastrous consequences for the future of the company. Within this paper, the SMH approach, that supports decision making processes to put emphasis on sustainable solutions regarding strategic and technical aspects, is introduced. SMH is an acronym that stands for a decision making approach that includes systems thinking (S), model-based systems engineering (M) and the human factor (H). This approach deals with the challenge to consider overall boundary conditions and interactions of the system, the decision which models need to be built in order to have the best data support possible, and the identification what influence the human factor plays in analyzing the data and the consequent decision making based on it. The importance of the human factor is often neglected in technical processes, which may lead to costly mistakes. This theoretical approach is applied to the use case of a chief executive officer (CEO) who has to decide on allocation of research and development (R&D) resources to future powertrain technologies.

A Neuroeconomic Framework for Creative Cognition

Perspectives on Psychological Science ◽

10.1177/1745691618794945 ◽

2018 ◽

Vol 13 (6) ◽

pp. 655-677 ◽

Cited By ~ 5

Author(s):

Hause Lin ◽

Oshin Vartanian

Keyword(s):

Decision Making ◽

Large Scale ◽

Network Dynamics ◽

Brain Network ◽

Locus Ceruleus ◽

Creative Cognition ◽

Neuroeconomics is the study of the neurobiological bases of subjective preferences and choices. We present a novel framework that synthesizes findings from the literatures on neuroeconomics and creativity to provide a neurobiological description of creative cognition. We propose that value-based decision-making processes and activity in the locus ceruleus-norepinephrine (LC-NE) neuromodulatory system underlie creative cognition, as well as the large-scale brain network dynamics shown to be associated with creativity. This reconceptualization leads to several falsifiable hypotheses that can further understanding of creativity, decision making, and brain network dynamics.