Association between distribution centre design and contextual characteristics

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marina Cardoso Guimarães ◽  
Guilherme Tortorella ◽  
Carlos Manoel Taboada ◽  
Moacir Godinho Filho ◽  
Felipe Martinez
Keyword(s):  
Decision Making ◽  
Distribution Network ◽  
Distribution Networks ◽  
Distribution Centers ◽  
Content Type ◽  
Distribution Centre ◽  
Contextual Characteristics ◽  
The Relationship ◽  
Contextual Characteristic ◽  
Support Decision Making

Purpose This paper aims to examine the relationship between the main decisions for designing distribution centers (DCs) and the contextual characteristics of the distribution networks. Design/methodology/approach Experts were surveyed and responses analyzed quantitatively through multivariate data techniques. This study considered four contextual characteristics that were deemed as influential for DC design: types of routes in the distribution network, quantity of DCs, distribution network levels and company size. Findings This paper evidenced which decisions are affected by each contextual characteristic encompassed in this study. This paper identified that the characteristic types of route in the distribution network must be carefully considered, as it had the greatest amount of associations with the decisions for designing a DC. Originality/value Despite its importance, most studies on design of DCs disregard the effect of the context in which DCs are inserted. This research provides arguments to support decision-making process of DCs design, increasing assertiveness of their planning. This work fulfills a literature gap by empirically examining the effect of contextual variables on the decisions related to DC design. Regarding practice, this paper addressed a fundamental issue for managers looking to design a DC, as it evidenced how contextual characteristics impact the decision-making.

Participative work design in lean production

2015 ◽  
Vol 27 (1) ◽  
pp. 19-33 ◽  
Author(s):  
Annika Lantz ◽  
Niklas Hansen ◽  
Conny Antoni
Keyword(s):  
Decision Making ◽  
Team Learning ◽  
Lean Production ◽  
Job Design ◽  
Learning Processes ◽  
Management Policy ◽  
Shop Floor ◽  
Content Type ◽  
Proactive Behaviour ◽  
The Relationship

Purpose – The purpose of this paper is to explore job design mechanisms that enhance team proactivity within a lean production system where autonomy is uttermost restricted. We propose and test a model where the team learning process of building shared meaning of work mediates the relationship between team participative decision-making, inter team relations and team proactive behaviour. Design/methodology/approach – The results are based on questionnaires to 417 employees within manufacturing industry (response rate 86 per cent) and managers’ ratings of team proactivity. The research model was tested by mediation analysis on aggregated data (56 teams). Findings – Team learning mediates the relationship between participative decision-making and inter team collaboration on team proactive behaviour. Input from stakeholders in the work flow and partaking in decisions about work, rather than autonomy in carrying out the work, enhance the teams’ proactivity through learning processes. Research limitations/implications – An investigation of the effects of different leadership styles and management policy on proactivity through team-learning processes might shed light on how leadership promotes proactivity, as results support the effects of team participative decision-making – reflecting management policy – on proactivity. Practical implications – Lean production stresses continuous improvements for enhancing efficiency, and such processes rely on individuals and teams that are proactive. Participation in forming the standardization of work is linked to managerial style, which can be changed and developed also within a lean concept. Based on our experiences of implementing the results in the production plant, we discuss what it takes to create and manage participative processes and close collaboration between teams on the shop floor, and other stakeholders such as production support, based on a shared understanding of the work and work processes. Social implications – Learning at the workplace is essential for long-term employability, and for job satisfaction and health. The lean concept is widely spread to both public bodies and enterprises, and it has been shown that it can be linked to increased stress and an increase in workload. Finding the potential for learning within lean production is essential for balancing the need of efficient production and employees’ health and well-being at work. Originality/value – Very few studies have investigated the paradox between lean and teamwork, yet many lean-inspired productions systems have teamwork as a pillar for enhancing effectiveness. A clear distinction between autonomy and participation contributes to the understanding of the links between job design, learning processes and team proactivity.

Minimizing area of VLSI power distribution networks using river formation dynamics

2018 ◽  
Vol 20 (4) ◽  
pp. 417-429 ◽  
Author(s):  
Satyabrata Dash ◽  
Sukanta Dey ◽  
Deepak Joshi ◽  
Gaurav Trivedi
Keyword(s):  
Power Distribution ◽  
Large Scale ◽  
Distribution Network ◽  
Distribution Networks ◽  
Power Distribution Networks ◽  
Power Distribution Network ◽  
Content Type ◽  
Ir Drop ◽  
Formation Dynamics ◽  
River Formation Dynamics

Purpose The purpose of this paper is to demonstrate the application of river formation dynamics to size the widths of power distribution network for very large-scale integration designs so that the wire area required by power rails is minimized. The area minimization problem is transformed into a single objective optimization problem subject to various design constraints, such as IR drop and electromigration constraints. Design/methodology/approach The minimization process is carried out using river formation dynamics heuristic. The random probabilistic search strategy of river formation dynamics heuristic is used to advance through stringent design requirements to minimize the wire area of an over-designed power distribution network. Findings A number of experiments are performed on several power distribution benchmarks to demonstrate the effectiveness of river formation dynamics heuristic. It is observed that the river formation dynamics heuristic outperforms other standard optimization techniques in most cases, and a power distribution network having 16 million nodes is successfully designed for optimal wire area using river formation dynamics. Originality/value Although many research works are presented in the literature to minimize wire area of power distribution network, these research works convey little idea on optimizing very large-scale power distribution networks (i.e. networks having more than four million nodes) using an automated environment. The originality in this research is the illustration of an automated environment equipped with an efficient optimization technique based on random probabilistic movement of water drops in solving very large-scale power distribution networks without sacrificing accuracy and additional computational cost. Based on the computation of river formation dynamics, the knowledge of minimum area bounded by optimum IR drop value can be of significant advantage in reduction of routable space and in system performance improvement.

Agentic work behaviour and thriving at work: role of decision making authority

2018 ◽  
Vol 25 (8) ◽  
pp. 3225-3237 ◽  
Author(s):  
Surendra Kumar Sia ◽  
Pravakar Duari
Keyword(s):  
Decision Making ◽  
Three Dimensions ◽  
Positive Contribution ◽  
Manufacturing Companies ◽  
Content Type ◽  
Independent Contribution ◽  
The Relationship ◽  
Task Focus ◽  
Thriving At Work

PurposeThe purpose of this paper is to examine the contribution of agentic work behaviour and decision-making authority (DMA) to thriving at work and, more importantly, the moderating role of DMA in the relationship between agentic behaviour and thriving.Design/methodology/approachThe study has been carried out upon a random sample of 330 employees below supervisory level from manufacturing companies located at Odisha (a state located at the eastern part of India). After verifying the significance of correlation among the study variables through Pearson’s product moment correlation, moderated regression analyses were carried out to examine the independent contribution of agentic work behaviour and DMA to thriving as well as the moderating contribution of DMA towards thriving.FindingsResults reveal that the three dimensions of agentic work behaviour, namely, task focus, exploration and heedful relation, have a direct positive contribution towards thriving at workplace. As far as the moderation is concerned, it is observed that the thriving level is higher for the employees having high DMA irrespective of the level of agentic work behaviour at each dimension.Research limitations/implicationsThe findings imply for designing interventions to enhance task focus, super-ordinate relationship and interest for learning. In addition, the organisations should provide autonomy to employees for decision making.Originality/valueThe study is first of its kind in the Indian context upon employee thriving. In this study, the authors have not only investigated the separate independent contribution of agentic behaviour and DMA, but also their interacting contribution to employee thriving.

Decision-making approach for complex problems management in a scarce human resources environment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcilio Andrade ◽  
Dermeval Carinhana Jr
Keyword(s):  
Decision Making ◽  
Human Resources ◽  
Theoretical Perspective ◽  
Optimal Solution ◽  
Complex Problem ◽  
Theory Of Constraints ◽  
Content Type ◽  
Physical Constraints ◽  
Complex Problems ◽  
The Relationship

Purpose This purpose of this study is to structure complex problems to be solved with greater efficiency, optimising the relationship between root causes (RC) relevance of the problem and utilisation of human resources to treat them, minimising the use of manpower in problem-solving activity and thus contributing to greater productivity within organisations. Design/methodology/approach The authors built an approach under the concepts of theory of constraints and multiattribute and multiobjective decision-making methods that were applied in a real complex problem of the low development of Brazilian space industry, by theoretical perspective. Also, the authors submitted it in a simulation environment to assess in which situations it is successful considering number of problem’s RC, system complexity and number of people in the system. Findings The approach was successful on the real case, finding the optimal relationship between the RC relevance and the number of people involved to treat them. For certain complex problem inputs configurations, simulation results reveal that the approach is reliable obtaining more than 95% chance of success in finding the optimal relationship, when comparing with traditional prioritising methods. Originality/value This approach introduces an unprecedented way to locate and evaluate non-physical constraints within a system, which is used to determine RC relevance, as well as an unprecedented way of defining a single optimal solution for structuring a problem, considering the relevance of RC and the use of human resources. The approach is useful for organisations in general which often need managing complex problems with few resources.

Consumer decision-making in a retail store: the role of mental imagery and gender difference

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jung-Hwan Kim ◽  
Minjeong Kim ◽  
Jungmin Yoo ◽  
Minjung Park
Keyword(s):  
Decision Making ◽  
Mental Imagery ◽  
Decision Making Process ◽  
Consumer Decision Making ◽  
Consumer Decision ◽  
Content Type ◽  
Perceived Ownership ◽  
Decision Satisfaction ◽  
The Relationship

PurposeThe purpose of the study is to investigate how mental imagery evoked from sensory in-store experience influences consumer anticipatory emotion, perceived ownership and decision satisfaction which eventually impact positive consumer responses such as behavioural intent. In this study, gender difference is proposed as a moderator to completely understand the role of mental imagery in the in-store decision-making process.Design/methodology/approachUsing a market research agency in South Korea, an online survey was employed to collect data. A total of 455 useable respondents (men = 224 and women = 231) largely living in the two most populous provinces in South Korea (i.e. Seoul and Gyeonggi provinces) completed the survey. A number of path analyses were conducted to test hypotheses.FindingsThe results of the study showed that mental imagery evoked from sensory product experience played a critical part in facilitating the consumer decision-making process by influencing anticipatory emotion and perceived ownership. The relationship among anticipatory emotion, perceived ownership, decision satisfaction and behavioural intent was significant except for the relationship between perceived ownership and behavioural intent. This study further indicated that the way mental imagery influences the in-store decision-making process differs between men and women.Originality/valueThe effect of mental imagery in a physical retail context is largely ignored. This study addressed the crucial role of mental imagery in a physical apparel retail setting and examined its impact on consumer decision-making processes. By exploring how to enhance consumers' in-store sensory shopping experiences through mental imagery to influence their positive shopping outcomes, this study offers vital insights into how retailers operating physical stores can successfully utilize their stores.

Effective design and development of hybrid ABC-CSO-based capacitor placement with load forecasting based on artificial neural network

2019 ◽  
Vol 39 (5) ◽  
pp. 917-930 ◽  
Author(s):  
Sarika Sharma ◽  
Smarajit Ghosh
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Radial Distribution ◽  
Power Loss ◽  
Distribution Network ◽  
Load Forecasting ◽  
Distribution Networks ◽  
Content Type ◽  
Power Loss Reduction ◽  
Artificial Neural

Purpose This paper aims to develop a capacitor position in radial distribution networks with a specific end goal to enhance the voltage profile, diminish the genuine power misfortune and accomplish temperate sparing. The issue of the capacitor situation in electric appropriation systems incorporates augmenting vitality and peak power loss by technique for capacitor establishments. Design/methodology/approach This paper proposes a novel strategy using rough thinking to pick reasonable applicant hubs in a dissemination structure for capacitor situation. Voltages and power loss reduction indices of distribution networks hubs are shown by fuzzy enrollment capacities. Findings A fuzzy expert system containing a course of action of heuristic rules is then used to ascertain the capacitor position appropriateness of each hub in the circulation structure. The sizing of capacitor is solved by using hybrid artificial bee colony–cuckoo search optimization. Practical implications Finally, a short-term load forecasting based on artificial neural network is evaluated for predicting the size of the capacitor for future loads. The proposed capacitor allocation is implemented on 69-node radial distribution network as well as 34-node radial distribution network and the results are evaluated. Originality/value Simulation results show that the proposed method has reduced the overall losses of the system compared with existing approaches.

The role of heuristic-driven biases in entrepreneurial strategic decision-making: evidence from an emerging economy

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maqsood Ahmad ◽  
Syed Zulfiqar Ali Shah ◽  
Yasar Abbass
Keyword(s):  
Decision Making ◽  
Emerging Economy ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Decision Making Process ◽  
Strategic Decisions ◽  
Content Type ◽  
The Relationship

PurposeThis article aims to clarify the mechanism by which heuristic-driven biases influence the entrepreneurial strategic decision-making in an emerging economy.Design/methodology/approachEntrepreneurs' heuristic-driven biases have been measured using a questionnaire, comprising numerous items, including indicators of entrepreneurial strategic decision-making. To examine the relationship between heuristic-driven biases and entrepreneurial strategic decision-making process, a 5-point Likert scale questionnaire has been used to collect data from the sample of 169 entrepreneurs who operate in small- and medium-sized enterprises (SMEs). The collected data were analyzed using SPSS and Amos graphics software. Hypotheses were tested using structural equation modeling (SEM) technique.FindingsThe article provides empirical insights into the relationship between heuristic-driven biases and entrepreneurial strategic decision-making. The results suggest that heuristic-driven biases (anchoring and adjustment, representativeness, availability and overconfidence) have a markedly negative influence on the strategic decisions made by entrepreneurs in emerging markets. It means that heuristic-driven biases can impair the quality of the entrepreneurial strategic decision-making process.Practical implicationsThe article encourages entrepreneurs to avoid relying on cognitive heuristics or their feelings when making strategic decisions. It provides awareness and understanding of heuristic-driven biases in entrepreneurial strategic decisions, which could be very useful for business actors such as entrepreneurs, managers and entire organizations. Understanding regarding the role of heuristic-driven biases in entrepreneurial strategic decisions may help entrepreneurs to improve the quality of their decision-making. They can improve the quality of their decision-making by recognizing their behavioral biases and errors of judgment, to which we are all prone, resulting in a more appropriate selection of entrepreneurial opportunities.Originality/valueThe current study is the first to focus on links between heuristic-driven bias and the entrepreneurial strategic decision-making in Pakistan—an emerging economy. This article enhanced the understanding of the role that heuristic-driven bias plays in the entrepreneurial strategic decisions and more importantly, it went some way toward enhancing understanding of behavioral aspects and their influence on entrepreneurial strategic decision-making in an emerging market. It also adds to the literature in the area of entrepreneurial management specifically the role of heuristics in entrepreneurial strategic decision-making; this field is in its initial stage, even in developed countries, while, in developing countries, little work has been done.

The importance of information service offerings of collaborative CRMs on decision-making in B2B marketing

2019 ◽  
Vol 35 (3) ◽  
pp. 470-482 ◽  
Author(s):  
José Ramón Saura ◽  
Pedro Palos-Sanchez ◽  
Alicia Blanco-González
Keyword(s):  
Decision Making ◽  
Internal Control ◽  
Information Service ◽  
Equation Modeling ◽  
External Control ◽  
Data Set ◽  
Content Type ◽  
B2b Marketing ◽  
Control Factors ◽  
The Relationship

Purpose The importance of information service offerings is directly linked to decision-making processes for buying and selling in business-to-business (B2B) companies. B2B companies intend to offer information that helps other companies choose a product or service. This paper aims to identify the relationship between the types of information offered by a B2B company in its B2B marketing strategy and the decision-making of the companies which buy products and services. Design/methodology/approach For this purpose, a data set has been consulted that contains 439 observations that are the result of transactions using customer relationship managements (CRMs) of B2B-type companies. A total of 9 different products were consulted from 20 B2B vendors that manage their transactions with CRM software for B2B operations. A total of 439 different transactions were recorded by these vendors during 2018 (n = 439) with their information service offerings strategies. The results were analyzed with the partial least squares structural equation modeling. Findings The results showed that the significance of the relationship between internal control factors and external control factors (H4) is the strongest one when using information services offerings strategies in a B2B environment. The results of this research can help B2B companies to improve their decision-making strategies and to define the structure of the information offered in their B2B marketing plans. Originality/value This research makes a contribution to an existing gap, which is to identify what the most important information is for purchasing companies in B2B environments and the relationship with this information, so that B2B purchasers can make good decisions thanks to the information service offerings strategy of the selling companies using CRMs.

Strategic decision-making

2018 ◽  
Vol 41 (1) ◽  
pp. 2-28 ◽  
Author(s):  
Satyanarayana Parayitam ◽  
Chris Papenhausen
Keyword(s):  
Decision Making ◽  
Conflict Management ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Decision Making Process ◽  
Content Type ◽  
Decision Outcomes ◽  
Seeking Behavior ◽  
The Relationship

Purpose This paper aims to investigate the effect of cooperative conflict management on agreement-seeking behavior, agreement-seeking behavior on decision outcomes, moderating role of competence-based trust on the relationship between agreement-seeking behavior and decision outcomes, and mediating role of agreement-seeking behavior between cooperative conflict management and decision outcomes. Design/methodology/approach Using a structured survey instrument, this paper gathered data from 348 students enrolled in a strategic management capstone course that features strategic decision-making in a simulated business strategy game. The data from 94 teams were collected from the student population using a carefully administered instrument. The data were aggregated after running the inter-rater agreement test and the analyzed to test the hypotheses. Findings The results from the hierarchical regression of the complex moderated mediation model reveal that cooperative conflict management is positively related to agreement-seeking behavior, and agreement-seeking behavior mediates the relationship between cooperative conflict management and decision outcomes. The results also suggest that competence-based trust acts as a moderator in the relationship between agreement-seeking behavior and decision quality; agreement-seeking behavior and team effectiveness, and agreement-seeking behavior and decision commitment. Results also support mediation of agreement-seeking behavior between cooperative conflict management and decision outcomes. Research limitations/implications The present research is based on self-report measures, and hence, the limitations of social desirability bias and common method bias are inherent. However, adequate care is taken to minimize these limitations. The research has implications for the strategic decision-making process literature. Practical implications In addition to the strategic management literature, this study contributes to practicing managers. The study suggests that competence-based trust plays a vital role in decision effectiveness. Administrators need to select the members in the decision-making process who have competence-based trust on one another and engage in agreement-seeking behavior. Social implications The findings from the study help in creating a fruitful social environment in organizations. Originality/value This study provides new insights about the previously unknown effects of cooperative conflict management and agreement-seeking behavior in strategic decision-making process.

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