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In this paper, we present a planning and control framework for manufacture‐to‐order environments that enables and supports agile‐based discrete parts manufacturing. The characteristic elements of our framework are that it is decentralized, logistics and business oriented, and that it recognizes that more detailed and more reliable data become available as orders advance through the different manufacturing stages and departments. Furthermore, it is a generic framework in that it applies to any discrete parts manufacturer, ranging from an engineer‐to‐order to an assemble‐to‐order company. We also point out the necessity of an organizational structure that supports and reinforces the framework. Particularly, we discuss the adoption and implementation of the new framework by creating multi‐disciplinary teams and structural and operational supporting groups to strengthen the organization for agile manufacturing.

The aim of this study was to fabricate polyimide (PI)/Al₂O₃ composite films via surface modification and ion exchange techniques, and examine their properties.

The method involves hydrolyzing the PI film double surface layers in an aqueous potassium hydroxide (KOH) solution and incorporating aluminium ions (Al3+) into the hydrolyzed layers of the PI film via subsequent ion exchange, followed by a treatment of the Al3+-loaded PI films with an aqueous ammonia solution, which leads to the formation of Al(OH)₃ in the surface-modified layers. After a final thermal annealing treatment in ambient air, the Al(OH)₃ decomposes to Al₂O₃, and forms composite layers on both surfaces of the re-imidized PI film.

The PI/Al₂O₃ composite film obtained with a 6 hours of KOH treatment exhibited excellent thermal stability, good mechanical properties and better electric breakdown strength and corona-resistance properties than the pristine PI film.

The method for obtaining the composite films in this paper is worth consideration, but additional research will be needed. Furthermore, this method is of general importance for the fabrication of composite PI films with tailored properties.

This study showed that surface modification and ion-exchange techniques are powerful methodologies for the fabrication of PI/Al₂O₃ composite films.

The purpose of this paper is to simulate two macrosegregation benchmarks with a newly developed stabilized finite element algorithm based on a semi-implicit pressure correction scheme.

A streamline-upwind/Petrov–Galerkin (SUPG) stabilized finite element algorithm is developed for the coupled conservation equations of mass, momentum, energy and species. A semi-implicit pressure correction method combined with SUPG stabilization technique is proposed to solve the convection flow during solidification. An analytically derived enthalpy method is adopted to solve the energy conservation equation. The nonlinearities of the energy and species equations are tackled by Newton–Raphson method. Two macrosegregation benchmarks considering the solidification of an Al-4.5 per cent Cu alloy and a Sn-10 per cent Pb alloy are simulated.

A very good agreement is achieved by comparison with the classical finite volume method and a novel meshless method for the Al-4.5 per cent Cu alloy solidification benchmark. Moreover, a unique reference numerical solution has been obtained. Besides, it is demonstrated that the stabilized finite element algorithm can capture the flow instability and channel segregation during solidification of the Sn-10 per cent Pb alloy.

A semi-implicit pressure correction method combined with SUPG stabilization technique is adopted to develop robust stabilized finite element algorithm for the macrosegregation model. A new enthalpy formulation for heat transfer problems with phase change is derived analytically.

The purpose of this paper is to explore tactical planning potential within hospital departments. The study had two objectives: first, to develop a framework for tactical capacity planning in healthcare departments by identifying and structuring essential components for healthcare capacity management; and, second, to identify context-specific requirements and functionality demands on tactical planning processes within healthcare.

A framework for tactical capacity planning was developed through a literature review. Additionally, an exploratory multiple-case study was performed, with cases from three Swedish hospital departments, which provide the opportunity to study framework applicability in its natural context.

Findings illustrate how an active tactical planning process can facilitate adjustments to capacity. However, the multiple-case study shows that there are contextual differences between departments, depending on available treatments and resources that affect capacity adjustments, and how the planning process activities should be structured.

This project develops a framework for a tactical capacity-planning process adapted to healthcare provider contexts. By developing the framework, based on the literature and tactical level planning processes within three Swedish hospital case studies, the authors bridge gaps between theory and application regarding healthcare capacity planning.

The purpose of this paper is to develop a mathematical model of a make-to-order manufacturing company simultaneously negotiating multiple contingent orders that possess conflicting issues in order to achieve order acceptance decisions (OADs).

The paper developed a mathematical model by incorporating probabilistic theory and some theories of negotiation in the OAD problem. The model helps to harness the relationship between the manufacturer and customers of contingent orders on conflicting issues. A numerical example is enumerated to illustrate the working mechanism and sensitivity of the model developed.

In the negotiation-based OAD system, if more than one customer is willing to negotiate on the offer of manufacturer, rather than engaging in one-to-one negotiation, the manufacturer has to negotiate with all the customers simultaneously to maximize the expected contribution and acceptance probability from all the orders. Also, the numerical example illustrates that, sometimes, rejecting an order/orders from the order set gives better results in terms of the expected contribution than continuing negotiations on them.

Through continuing research efforts in this domain, certain models and strategies have been developed for negotiation on a one-to-one basis (i.e. negotiation by the manufacture with only one customer at a time). One-to-one negotiation will neither help companies to streamline their production systems nor will it maximize the expected contribution. To the best of the author’s knowledge, so far, this is the first instance of research work in the domain of a joint OAD and negotiation framework that attempts to develop a simultaneous negotiation method for arriving at OADs.

The purpose of this paper is to develop a framework for the manufacturer of a make-to-order company to simultaneously negotiate with multiple customers through mediator to achieve order acceptance decisions (OADs).

The paper developed mathematical models for the manufacturer, as well as customers to revise their offers during negotiations. Moreover, the paper also proposed a method for the mediator to carry out his assigned duties to assist in negotiation. In the decision process, mediator acts as a bridge between the manufacturer and customers to reach an agreement. A numerical example is enumerated to illustrate the working mechanism and superiority of proposed framework as compared to the framework where simultaneous negotiations are carried out without the presence of mediator.

Iterative method of negotiation conducted without mediator leads to delay in reaching agreement as the aspiration level of manufacturer offer and counter-offer of customer will never cross each other. In addition, the party who submits the offer first may suffer as the opponent can take the advantage of his/her offer during negotiation, thereby, derailing the issue of fairness. Introducing mediator between the manufacturer and the customer for their negotiations could overcome these two issues. Numerical analysis clearly illustrates that, in average, the rounds of negotiation to reach an agreement can be reduced by 22 percent using proposed negotiation framework. In addition, the fairness in negotiations can be improved by 33 percent with the incorporation of mediator.

Through continuing research efforts in this domain, certain models and strategies have been developed for negotiation. Iterative method of negotiations without mediator will help neither the manufacturer nor the customer in terms of fairness and negotiations round to reach an agreement. To the best of the author’s knowledge, so far, this is the first instance of research work in the domain of OAD and negotiation framework that attempts to incorporate mediator for simultaneous negotiation between manufacturer and customers on multiple issues simultaneously.

The purpose of this paper is to investigate Finnish working mothers’ experiences of the effects of non-standard working schedules (NSWS) on family time in two family forms, coupled and lone-parent families. Furthermore the aim is to find out what meanings mothers with NSWS attached to family time paying particular attention to the circumstances in which mothers experienced NSWS positively.

Thematic analysis of 20 semi-structured interviews was used to investigate mothers’ experiences of the effects of NSWS on family time.

The key factor generating positive experiences was the ability to maintain regularity and togetherness, which was enhanced by specific features of work, such as autonomy and regularity, and successful child care arrangements. Also important were the values mothers associated with family time. The results highlighted the more problematic situation of lone-parent families.

The main limitation of this study was the small sample size.

The findings show how the parents of small children benefit from the regularity and flexibility in their working hours. Owing to irregular and varying working times, flexible around-the-clock childcare is needed. In Finland, an important question is how to organize the care of small school-aged children. Lone mothers, especially, may need services to help with domestic chores and childcare.

A non-resident parent can also be an important source of childcare. Therefore policymakers should take into account family type, including consideration of the rights to childcare of non-resident parents.

This study adds to the literature by explaining more in depth, through the richness of qualitative data, the circumstances in which mothers experience NSWS positively.

Drawing on the cognitive-functional model of emotions and emotional contagion, the authors aim to examine the role of negative emotions in the diffusion of cancer tweets.

Using an integrated approach of social network and text analytics, the authors analyzed 142,883 cancer tweets from February to March 2018. The roles of negative emotions, emotional contagion, cancer themes and user influence on the diffusion of cancer tweets were examined.

Results indicated that cancer tweets expressing negativity and anger diffused more widely, while those expressing sadness or fear were less likely to diffuse. However, contrary to the authors’ expectation, cancer tweets expressing negative emotions (i.e. negativity, anger and fear) were less likely to arouse similar emotions among retweets, thus suggesting that emotions in cancer tweets were not as contagious as they seemed. Finally, user influence was the most important factor explaining the diffusion of cancer tweets, although cancer-related themes (i.e. affective, informative and social) had marginal effects on likelihood of diffusion.

Using a novel integrated social network–text analytics approach, the authors found that to understand cancer tweets' diffusion, it is critical to go beyond examining the content of tweets about cancer and the influence of messengers – the virality of cancer tweets is inextricable from the negative emotions.

The purpose of this paper is to investigate whether employees' understanding of their organization's strategic objectives could be used by business organizations to develop a desired type of organizational culture that will improve business performance.

Structural equation modeling (SEM) was conducted on the data collected in 2018 from professionals working in the healthcare industry in the USA.

SEM revealed the positive effect of employee understanding of their organization's strategic objectives on the development of a serving culture, and the mediating effect of serving culture on the relationship between employee understanding of strategic objectives and performance.

This study emphasizes that having a well-defined mission and strategic goals may not be sufficient. Business organizations must also ensure that all employees clearly understand the meaning of such objectives. Employee understanding can become instrumental, as it could allow business organizations to develop a desired type of organizational culture that will support the implementation of the firm's strategic objectives.

The study is a valuable addition to past research. First, it advances the literature on strategy by exploring the critical role of employee understanding of their organization's strategic objectives in the context of culture and performance. Thus, it allows scholars to better explain how business organizations could more effectively utilize their process of strategic planning. In the domain of organizational culture, the paper contributes by identifying a new antecedent of serving culture. Furthermore, the paper also contributes to the literature on service management by identifying a mechanism that service organizations could use to increase their performance.

A new coupled model is developed to simulate the interaction between fluid droplet collisions on discrete particles (DPs) by using mathematic function.

In this model, the smoothed particle hydrodynamics (SPH) is used based on the kernel function and the time step which takes into consideration to the fluid domain in accordance with the discrete element method (DEM) with resistance function. The interaction between fluid and DPs consists of three parts, which are repulsive force, viscous shear force and attractive force caused by the capillary action. The numerical simulation of droplet collision on DPs presents the whole process of droplet motion. Otherwise, an experimental data were conducted to record the realistic process for verification.

The comparison result indicated that the numerical simulation is capable of capturing the entire process for droplet collision on DPs.

However, based on the difference of experimental environment, type of the DP and setups, the maximum spreading dimeters of could not fit the experimental data exactly.

In sum, the coupled SPH-DEM method simulation shows that the coupled model of SPH-DEM developed an entire effectiveness process for fluid–solid interaction problem.