Industrial Example Research Articles

Working for a "Flip-Flop" Boss: Strategies for Thriving in an Environment of Constant Change

This article provides strategies for individuals navigating the challenges of working for a boss who exhibits inconsistent leadership through frequent changes in priorities, direction, and decision-making. Key concepts are explored relating to the potential causes of unpredictable management, as well as the professional consequences it can create like unclear direction, low morale, and inefficiency. The article then presents evidence-based techniques shown to foster clarity, effectiveness, and motivation despite fluctuating external conditions. Specific approaches are outlined for maintaining clarity through documentation, communication, and clarification; preserving efficiency by focusing internally on controllables and automating routines; and sustaining one's own motivation through connecting to purpose and relationships. Real-world industry examples bring the concepts to life, equipping readers with actionable strategies for thriving amid erratic leadership.

If You're So Successful, Why Are You Still Working 70 Hours a Week? Exploring the Costs and Benefits of an Always-On Work Culture

This article explores the costs and benefits of working excessively long hours through an analysis of academic research and real-world industry examples. It argues that while dedication and hard work have driven success initially for many professionals, an "always on" culture risks normalizing unsustainable practices that undermine well-being in the long run. extensive research documents the negative impacts of chronic overwork on physical health, mental health, job satisfaction, and productivity. However, evidence also suggests that balanced boundaries between work and personal life can yield individual rewards like reduced stress and organizational rewards like stronger engagement and innovation. The article provides strategies for professionals and leaders to strike a balance appropriate for their context, through mechanisms like clearly communicating expectations, measuring outcomes over hours, guarding time for learning and relationships, and role modeling boundaries. With care and intention, even competitive industries can promote sustainable success over the long term.

The Changing Ambitions of Workers: Adapting Leadership for Today's Reality

Recent research suggests workers' career ambitions are changing, with fewer aspiring to top executive roles like CEO. This article explores the implications of shifting ambitions for organizational leadership strategies. Research from McKinsey and others finds only 3 in 10 workers today want C-suite careers, down from previous generations where climbing the corporate ladder was standard. Societal factors like economic instability and greater valuation of work-life balance, as well as generational preferences for meaningful work and flexibility over prestige roles, help explain changing priorities. To optimize talent management amid these trends, the author recommends companies realign leadership strategies, talent practices, and culture. Distributed leadership models, non-linear career paths focused on skills development, and culture emphasizing purpose, learning, and well-being can better engage modern workers who prioritize autonomy, growth, and impact over rigid hierarchy. Industry examples demonstrate how redefining success and expanding career definitions can boost retention, diversity, and collaboration.

How AI Use Will Increase the Value of Soft Skills at Work

This article discusses research on how artificial intelligence (AI) is impacting the skills needed for jobs. As AI automates routine tasks, studies find that cognitive and soft skills will become more important for problem-solving, collaboration, and interacting with technologies. Soft skills like communication, emotional intelligence, and adaptability will grow in value as humans work synergistically with AI. These skills are universally applicable and allow people to manage complex social situations that AI cannot yet handle. As jobs evolve rapidly with AI, soft skills also facilitate lifelong learning and strategic thinking. The article explores why soft skills will rise in prominence through several compelling reasons, including humans' continued superiority in managing social relationships and AI's role complementing rather than replacing people. It also outlines strategies for organizations to develop soft skills training, job design emphasizing human-AI strengths, and supportive cultures and leadership. Industry examples demonstrate how focusing on soft skills unlocks AI's full business benefits and ensures employees can thrive as work transforms.

Understanding Organizational Culture through Schein's Model

This article explores Edgar Schein's influential model of organizational culture and its application for business leaders seeking to assess and influence culture within their industries. Schein defines culture as having three levels - artifacts, espoused values, and basic underlying assumptions. By examining culture through this framework, leaders gain a nuanced understanding of both visible and unconscious drivers of employee behaviors and organizational dynamics. The article discusses how leaders can analyze each level of culture and provides industry examples from healthcare and higher education. It argues that understanding culture's deeper roots allows leaders to intentionally shape artifacts and espoused values in a way that aligns all levels and helps evolve basic assumptions over time. Using Schein's model, leaders are equipped with a practical tool for purposefully examining and impacting their unique organizational culture to cultivate high performance, fulfill missions, and drive business success.

Building Trust and Loyalty in the Workplace

This article explores practical strategies for managers and executives to increase trust and loyalty in employee relationships. The article outlines how trust is built over time through consistency, integrity, and care. Specific guidance is provided around communicating expectations, pay transparency, work-life balance, career development, culture, and recognition. Fulfilling implicit and explicit psychological contracts through these approaches deepens employee loyalty and commitment. Case studies then demonstrate how appreciation, recognition, and social/fun activities further strengthen bonds. Real-world industry examples show the concepts applied successfully in technology, healthcare, and retail contexts. The article argues that prioritizing relationships through integrity and compassion lays the groundwork for resilient, high-performing organizational cultures where leaders leave a lasting positive legacy.

Selection of alarm deadbands and delay timers with their connections based on risk indicators for removing nuisance alarms

Alarm systems are crucial to the safety and efficiency of industrial processes, but they may be contaminated by massive nuisance alarms. Alarm deadbands and delay timers with their connections are often used to remove nuisance alarms. However, different process variables are with different characteristics of alarm events, so that it is necessary to determine which one of these alarm systems is the most appropriate for a given process variable. This paper proposes a method to select the most suitable alarm system for a given process variable, by formulating an indicator to evaluate the risk of missed abnormality detections. The technical challenge is about how to calculate the uncertainty of the risk indicator. The Bayesian estimation approach is utilized to yield confidence intervals of the risk indicator for addressing the technical challenge. The alarm system with the lowest risk indicator is chosen as the most appropriate one. Numerical and industrial examples are presented to support the proposed method.

Design of a new attribute chart based on inspection run length

The conventional np chart detects shifts in fraction nonconforming of the process depending on the total number of nonconforming units, which is obtained until all of the units within a sample are completely inspected. To improve the effectiveness of inspection capacity, this paper presents a new attribute control chart, namely the Inspection Run Length (IRL) control chart, which detects shifts in fraction nonconforming of the process depending on a novel inspection strategy. This strategy employs information about the number of conforming and nonconforming units and inspection run length during the inspection process to curtail the number of units that need to be inspected. The optimal design parameters of the proposed control chart are derived based on optimising average run length (ARL) properties. In addition, the performance of the proposed IRL chart is evaluated and compared with the np chart and CRL-type charts. Comparison studies show that the proposed chart achieves a significant reduction in inspection time and cost and an improvement in performance (a lower out-of-control ARL) while holding the false alarm rate ( in-control ARL) at a specified level. Finally, two industrial examples are given to illustrate how to simply apply the proposed chart to the manufacturing process.

Exploring Women Journey And Factors That Act As Glass Ceiling On Women In Getting Into Senior Management: A Literature Review

The literature review indicates that the progression of women in many fields in getting into senior management has been growing very slow. Men are still dominant in numbers when it comes to such positions, for example in the construction industry, men are still dominant in construction industry due to the fact that the working conditions of the construction environment(s) are dangerous to conduct work on and the culture of hard labor altogether with long working hours deprive women an opportunity to flourish in such environments. Therefore, there is a need to interpolate such industries into novel models and transform them into advanced state for all. Subsequently, the literature postulates that there is a need for more women to study Science, Technology, Engineering and Mathematics (STEM) fields further to be able serve in senior management positions. However, many organizations need to have women empowerment programs for those who exhibit the attributes to serve in senior management/leadership positions with the inclusion of capable women. Senior women need to mentor and train junior women within permissible structures of organizations. The literature suggests that the gap between the two genders when it comes to senior management is great apart even though women are perceived to have skills to serve in those positions. Thus, there is a need for more studies focusing on how to minimize this gender disparity as most of the studies are centric in the disparity of the two genders rather than establishing the cause and proposing solutions. Therefore, the research proposes that a new model for numerous industries ought to be generated in order to exterminate this exacerbating effect.

MULTI-ENTITY STOCK DEPENDENT MODEL WITH CAPACITY AND MANUFACTURE COST RESTRAINT’S

Inventory has an impact on the manufacturing process as well as supply chain operations. The fundamental goal of this research paper is to optimize the cost associated with inventories and to provide flow less continuous production process in time. Normally, demand rate of any entity in inventory control model are treated as predictable and at the same time constant too, and that the cost associated to unit inventory must be independent and non-variable in nature. Nevertheless, in practical circumstances, the unit price and demand rate of an entity may be interconnected. When the asking for an article is enormous, an entity is manufactured in huge quantities and the static charges of manufacturing being diffused over a multiple component. Henceforth, per unit article cost decreases significantly. i.e., per unit article cot and the demand of an article are related under inverse variation. So, better to consider the demand rate of an article as a variable constraint than to fixed one. In this research article, a mathematical model for multiple articles through permitted and restricted shortage and per article cost based on demand accompanied by upper and lower limits viz restricted storage space and manufacturing expenses has been constructed. Overall, investigating the simultaneous effect of storage space and manufacturing expenses in an inventory model provides valuable insights that enable cost optimization, resource allocation, capacity planning, and risk mitigation. It helps companies make informed decisions and improve their overall operational efficiency and profitability. The Multi-Entity Stock Dependent Model with Capacity and Manufacture Cost Restraints can be customized and used in a variety of sectors that include managing inventory across numerous entities and complicated supply chain networks. Here are a few examples of industries that can benefit from such a model: manufacturing industry, the retail and distributor sector, e-commerce companies, pharmaceutical and healthcare industry, automotive industry and food and beverage industry. The article cost is explored at this juncture in a fuzzy atmosphere and solutions of the model being obtained through KKT condition. Finally, a conclusion is offered in the final portion.

Corporate Social Responsibility and Stakeholder Engagement: Impact on Organizational Performance

Corporate Social Responsibility (CSR) has become increasingly pivotal in shaping organizational strategies, impacting not only societal perceptions but also organizational performance metrics. This paper explores the multifaceted relationship between CSR initiatives, stakeholder engagement practices, and their collective influence on organizational performance. By reviewing theoretical frameworks and empirical studies, it examines how CSR activities contribute to enhancing brand reputation, fostering stakeholder trust, and mitigating risks. Furthermore, the study delves into the strategic alignment of CSR with business objectives, emphasizing its role in driving long-term financial sustainability and competitive advantage. Through a comprehensive analysis of case studies and industry examples, this research elucidates the nuanced impacts of CSR and effective stakeholder engagement on organizational success in contemporary business environments.

Heha Sky View: Role Model for MSME Partner-Based Tourism in Yogyakarta

This research could be a form of subjective expression that unearths amazing ideas and builds a tourism trade approach through collaboration with Micro, Small and Medium Enterprises (MSMEs). Information gathered through discussions, perceptions, and supplementary sources. Heha Sky View (HSV), located on the slope of Patuk in Yogyakarta, Indonesia, is visited by 15,000 people in a single day during peak season and offers beautiful views, twilight, a variety of Instagram-worthy selfie settings, the mountains, and culinary pleasures. With reasonable costs provided by 25 MSME units connected by skybridge, road nourishment slows down. Another goal of the HSV owner is to use the neighborhood as a buffer zone, benefits for communities, MSMEs, exchanges with multiplier effects, and transport. MSMEs care for, empower, and benefit stakeholders with a capital investment of 10 billion rupiah over a period of 4 (four) years. HSV ought to serve as an example for the tourism industry. The goal is to create sustainable, capital-efficient, and innovative tourism using both natural and manmade scenery. This can serve as an example of role model for Yogyakarta's MSME Partner- Based Tourism.

Transfer learning for crash design

When designing the structure of a new vehicle, car manufacturers need to ensure the compliance with strict safety requirements. Aiming to support the engineers in the early phase of this process, we propose a transfer learning framework for crashworthiness. This work explores the possibility to infer knowledge on future situations by exploiting data coming from past development processes. During the early phases of automotive development, assessing the crash safety implies dealing with the challenge of low data availability. Here, the engineers have no hardware test to rely on and can access only few finite element simulations. Under these circumstances, an attractive concept to investigate is the development of a machine learning approach able to learn from the past designs and to transfer the acquired knowledge to the new ones. Transfer learning can serve to this aim. With it, one learns the basic knowledge from a source domain A, and transfers it to a target domain B, characterized by low data availability. Here, we propose a transfer learning framework and apply it to an explicatory industrial crash example. The components produced in the past constitute the source domain; the new component design is the target domain. The proposed methodology can serve as an innovative solution to support car manufacturers in the early phase of vehicle development and thus improve the performance in crashworthiness scenarios.

What Super Productive People Do Differently

This article explores seven habits shown through research to distinguish highly productive individuals from average performers. Each habit is grounded in academic literature and illustrated with real-world industry examples. The habits include planning the next day's schedule in advance to be proactive rather than reactive. Minimizing distractions like notifications to focus deeply on priorities. Batching similar tasks together to maintain cognitive momentum. Automating repetitive tasks to streamline workflow. Enforcing strict boundaries between work and personal time to prevent burnout. Dedicating time to continuous self-improvement through skills development. And scheduling regular "deep work" sessions for uninterrupted focus on complex cognitive work. The article argues that organizational leaders who foster a culture supporting these evidence-based productivity strategies can cultivate high-performing teams consistently delivering quality outcomes despite demanding workloads. adopting some principles could significantly increase organizational output.

FINANCIAL AND ECONOMIC SECURITY AND DEVELOPMENT OF PRIORITY SECTORS OF THE NATIONAL ECONOMY UKRAINE: CASUAL NEXUS EMPIRICAL

The paper aims to investigate the causal nexus of the parameters of financial and economic security and the development of priority sectors of the national economy (on the example of agriculture, industry, construction, and transport in Ukraine) in the years 2010-2021. The results of the causal analysis showed the greatest degree of variability in the development of Ukrainian industry from the production, economic, credit and debt components of its financial security; agriculture, forestry, and fisheries – the security of money circulation and the credit component of financial security; construction, transport, warehousing, postal and courier – all components of financial security, except investment. The practical significance of the research results lies in the development of tools for modelling the impact of policy measures of strengthening financial and economic security on the development of priority sectors of the national economy, which allows for predicting the consequences of the implementation of the state security policy in the field of structural and institutional changes.

An Exploratory Study of the Use of ICT for Control Measures in Organization Across Industries

In business management, a control function refers to the process of monitoring, measuring, and regulating various aspects of an organization's activities to ensure that they align with the established goals and objectives. This function is crucial for achieving efficiency, effectiveness, and accountability within an organization. Information and Communication Technology (ICT) has had a profound impact on the control functions of various industries. These control functions encompass a range of activities including monitoring, automation, decision-making, and overall management of industrial processes. For the sake the research paper and better understanding for the readers we have divided Control Function into 5 components that are – Quality Control, Feedback, Finance, Supply Chain,Market and Competitor Analysis and Customer Relationship Management The paper will attempt to explain how each of the given components are impacted by ICT and provide a Real-life industry example for each.

A sustainable management model to reduce food loss and waste in agro-processing industries

Abstract Agri-food processing industries generate a significant amount of food waste during different stages of processing. Sustainable food loss and waste (FLW) management aims to reduce, reuse, and recover the waste generated. To successfully implement strategies capable of pursuing these goals there is the need to connect agri-food processing industries with possible stakeholders in the use of waste generated. Primary processing centres are an example of industries that generate waste from the processing of fruits and vegetables. A model able to increase the environmental, economic, and social benefits of FLW reuse with appropriate strategies is proposed in this study. It is based on a multicriteria decision-making approach and a business-to-business web platform to support decision makers in identifying the best FLW management strategies from a quantity reduction and/or sustainability maximization perspective. Numerical simulations highlight the effectiveness of the model in identifying the best FLW management strategies within a panel of alternatives.

Process Capability Index for Simple Linear Profile in the Presence of Within- and Between-Profile Autocorrelation

In many situations, the quality of a process or product can be characterized by a functional relationship or profile. It is well-known that the independence assumptions of the error terms within or between profiles are not always valid and could be violated due to within or between profile autocorrelation. Since most of the process capability indices (PCIs) have been developed for simple linear profiles (SLPs) without considering autocorrelation, this paper provides some novel methods to analyze the capability of SLP under each of the two different autocorrelation effects separately, as well as the case where both autocorrelation effects are present. We assume that the first-order autoregressive AR(1) model explains the within- and between-profile autocorrelation in error terms. To evaluate the process capability, a new functional index called is introduced for SLP with independent errors, and then it is modified to include the three possible cases of within, between, and simultaneous autocorrelation. The simulation results demonstrate that the proposed schemes outperform existing schemes regarding bias and mean square error (MSE) criteria. Moreover, bootstrap confidence intervals for the proposed index are obtained. Finally, an illustrative example in the chemical industry is used to demonstrate the applicability of the proposed method.

Management systems of food enterprises on the example of the dairy processing industry: analysis and features of functioning

Management systems of food enterprises on the example of the dairy processing industry: analysis and features of functioning

Разработка алгоритма оперативного планирования серийного дискретного производства с альтернативными цепочками операций в технологических процессах

The problem of the theory of schedules with an additional condition – the need to choose an alternative chain of operations in the technical processes of products is considered. A two-stage planning algorithm is proposed, the first stage of which is the selection of chains of operations suitable for a certain criterion from the given alterna-tives, after which the task is reduced to the classic JSSP (Job-Shop Scheduling Problem) problem. At the second stage, the selected production operations are arranged on the machines, taking into account the order of the technological process and other restrictions. Minimization of changeover time in production was chosen as an optimization criterion. The description of the algorithm and its implementation is given on the example of the cable industry (production of wiring harnesses). Both stages of planning are implemented on the basis of greedy algorithms, the results of test measurements on various amounts of data (up to tens of thousands of operations) are presented. The implementation is made in C# 10 using a free platform .NET 6. The vector of further research is the implementation of more complex algorithms (in particular, based on evolutionary methods) in order to obtain more optimal plans.