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In order to explain a phenomenon/problem, some of the mechanisms which elicit the phenomenon/problem must be clarified, since: “a goal of scientific research is to uncover reality beneath appearance”. The purpose of this paper is to investigate the following issue: how can social mechanisms be examined from a systemic point of view?

The paper investigates, at an abstract level, what is meant by social mechanisms in social systems in Part 1. Social mechanisms and various explanation models are investigated in Part 2, using the systemic approach.

However well‐functioning the models developed, this procedure will not have developed a theory of the phenomenon. For that purpose, explanations at a more basic level than the model is able to disclose, will be necessary. The empirical causal model says something about the strength in the relation between the variables and can be used in practice in order to change certain variables to facilitate the desired change in the system.

The paper usefully shows that, if possible, explanations at a more basic level would be desirable; but not necessary for the application of insights in practical contexts. By this, the paper has stated that a theory can be desirable, but not necessary, in order to develop, e.g. innovative organisations. Models and social mechanisms, on the other hand, are necessary to organise knowledge for the purpose of use in practical contexts.

Currently, digital technology has been proposed as a new archetype for developing an effective traceability system in the perishable food supply chain (FSC). Implementation of such a system needs significant investment and the burden lies with the members of the supply chain. The purpose of this paper is to examine the impact on the profit of the supply chain members due to the implementation of an effective traceability system with such a large investment. The study also tries to explore the impact of the implementation of such a system by coordination among the members through a cost-sharing mechanism.

A two-level supply chain that comprises a supplier and retailer is analyzed using a game-theoretic approach. The mathematical models are developed considering the scenario for an individual, centralized and both members invest using a cost-sharing mechanism. For each of the models, the impact of product selling price, information sensing price and quality improvement level on profit is analyzed through numerical analysis.

The study reveals that consumer involvement can be a strong motivation for the supply chain members to initiate investment in the traceability system. Further, from an investment perspective cost-sharing model is beneficial compared to the individual investment-bearing model. This mechanism can coordinate as well as benefit the FSC members. However, the model is less beneficial to the centralized model from profit and quality improvement levels.

Food wastage can be less from supplier and retailer perspectives. Moreover, consumers can purchase food items only after verifying their shipping conditions. Consequently the food safety scandals can be reduced remarkably.

Digital technology adoption in the perishable FSC is still considered emerging. The present study helps organizations to implement a traceability system in the perishable FSC through consumer involvement and a cost-sharing mechanism.

Compliant mechanism has been receiving a great interest in precision engineering. However, analytical methods involving their behavior analysis is still a challenge because there are unclear kinematic behaviors. Especially, design optimization for compliant mechanisms becomes an important task when the problem is more and more complex. Therefore, the purpose of this study is to design a new hybrid computational method. The hybridized method is an integration of statistics, numerical method, computational intelligence and optimization.

A tensural bistable compliant mechanism is used to clarify the efficiency of the developed method. A pseudo model of the mechanism is designed and simulations are planned to retrieve the data sets. Main contributions of design variables are analyzed by analysis of variance to initialize several new populations. Next, objective functions are transformed into the desirability, which are inputs of the fuzzy inference system (FIS). The FIS modeling is aimed to initialize a single-combined objective function (SCOF). Subsequently, adaptive neuro-fuzzy inference system is developed to modeling a relation of the main geometrical parameters and the SCOF. Finally, the SCOF is maximized by lightning attachment procedure optimization algorithm to yield a global optimality.

The results prove that the present method is better than a combination of fuzzy logic and Taguchi. The present method is also superior to other algorithms by conducting non-parameter tests. The proposed computational method is a usefully systematic method that can be applied to compliant mechanisms with complex structures and multiple-constrained optimization problems.

The novelty of this work is to make a new approach by combining statistical techniques, numerical method, computational intelligence and metaheuristic algorithm. The feasibility of the method is capable of solving a multi-objective optimization problem for compliant mechanisms with nonlinear complexity.

The purpose of this paper is to perform a numerical assessment of two recently proposed extensions of the Gurson‐Tveegard‐Needleman ductile damage constitutive model under low stress triaxiality.

One of the most widely used ductile damage models is the so‐called Gurson‐Tveegard‐Needleman model, commonly known as GTN model. The GTN model has embedded into its damage formulation the effects of nucleation, growth and coalescence of micro‐voids. However, the GTN model does not include void distortion and inter‐void linking in the damage evolution. To overcome this limitation, some authors have proposed the introduction of different shear mechanisms based on micromechanical grounds or phenomenological assumptions. Two of these constitutive formulations are reviewed in this contribution, numerically implemented within a quasi‐static finite element framework and their results critically appraised.

Through the analysis of the evolution of internal variables, such as damage and effective plastic strain, obtained by performing a set of numerical tests using a Butterfly specimen, it is possible to conclude that the extended GTN models are in close agreement with experimental evidence.

Even though the results obtained with the modified GTN models have shown improvements, it can also be observed that both shear mechanisms have inherent limitations in the prediction of the location of fracture onset for some specific stress states.

From the results reported, it is possible to identify some shortcomings in the recently proposed extensions of the GTN model and point out the direction of further improvements.

The current studies on remaining useful life (RUL) prediction mainly rely on convolutional neural networks (CNNs) and long short-term memories (LSTMs) and do not take full advantage of the attention mechanism, resulting in lack of prediction accuracy. To further improve the performance of the above models, this study aims to propose a novel end-to-end RUL prediction framework, called convolutional recurrent attention network (CRAN) to achieve high accuracy.

The proposed CRAN is a CNN-LSTM-based model that effectively combines the powerful feature extraction ability of CNN and sequential processing capability of LSTM. The channel attention mechanism, spatial attention mechanism and LSTM attention mechanism are incorporated in CRAN, assigning different attention coefficients to CNN and LSTM. First, features of the bearing vibration data are extracted from both time and frequency domain. Next, the training and testing set are constructed. Then, the CRAN is trained offline using the training set. Finally, online RUL estimation is performed by applying data from the testing set to the trained CRAN.

CNN-LSTM-based models have higher RUL prediction accuracy than CNN-based and LSTM-based models. Using a combination of max pooling and average pooling can reduce the loss of feature information, and in addition, the structure of the serial attention mechanism is superior to the parallel attention structure. Comparing the proposed CRAN with six different state-of-the-art methods, for the predicted results of two testing bearings, the proposed CRAN has an average reduction in the root mean square error of 57.07/80.25%, an average reduction in the mean absolute error of 62.27/85.87% and an average improvement in score of 12.65/6.57%.

This article provides a novel end-to-end rolling bearing RUL prediction framework, which can provide a reference for the formulation of bearing maintenance programs in the industry.

Close links between buyers and suppliers are increasingly cited as a critical differentiator of high and low performers in global supply chains. While the application of performance measures to manage supplier relationships has been well‐identified and encouraged in the literature, comparatively little research exists on the inter‐organizational socialization mechanisms that underlie the flow of learning and information within supply chains. The authors aim to develop a model positing that socialization mechanisms play an important role in mediating the relationship between supplier performance measures and performance outcomes.

A structural equation model, using a sample of 142 manufacturing and service firms based in the UK, tests this hypothesised model.

The theoretical framework was supported, with results indicating that socialization mechanisms fully mediate the effects of supplier performance measures (communication and operational‐based) on firm performance.

This study provides additional insights for purchasing managers seeking to improve the management of their strategic supplier relationships. The authors find that monitoring supplier performance is not of itself sufficient, rather, it is the process of socializing the buyer and supplier that is critical to success.

As far as the authors are aware, no previous supply chain research has examined how supplier performance measurement systems, socialization mechanisms, and firm performance are related. The paper makes a significant contribution to this literature embedding an established theoretical construct (socialization) into the supply chain literature.

According to the high‐reliability requirement and especial structure of triple modular redundancy (TMR) emergent trip multi‐machine system, the purpose of this paper is to introduce a highly effective invalidation detecting mechanism based on heartbeat mechanism.

The structure of TMR system is designed to be multi‐master and multi‐save. According to the multi‐machine environment, an invalidation detecting mechanism is designed. Considering the advantage and weakness of the traditional PULL and PUSH heartbeat model, the mechanism combines PUSH model with PULL model. To further enhance real‐time ability and reliability of the invalidation detecting mechanism, hierarchy heartbeat monitor and integrating the heartbeat message into data transmission are designed in the mechanism.

The invalidation detecting mechanism combines PUSH with PULL heartbeat monitor model can enhance reliability and decrease the system misdiagnosis rate greatly. By adapting hierarchy heartbeat mechanism and integrating the heartbeat detecting message into the data transmission, the system communication cost is decreased and the input‐to‐output response time is shortened. The effectiveness and reliability of this mechanism are proved by system field commissioning and MATLAB simulation.

Using a new heartbeat invalidation detecting mechanism, this paper provides a new way of fault diagnosis of TMR multi‐machine system.

Starting from corporate entrepreneurship, spin-off entrepreneurship and business model theory, this paper aims to examine the key influential factors and inherent mechanism in the process of business model transfer from parent enterprise to spin-off start-ups.

Grounded theory method is fit for constructing theoretical models, which can discover and interpret phenomenon and activities. According to the guidance of theoretical sampling and other core principles in grounded theory, this study extracts two parent enterprises named Haier and Phnix and lots of spin-offs derived from them.

This paper presents the theoretical framework that business models transfer from parents to spin-offs and probes into the embedding logic and connection relationship between factors and categories in this process, such as preconditions, incubation veins, business model elements, stripping mechanism and independent operations.

Although this study is focused on the manufacturing industry, the main characteristics, comparative advantages, governance rules summarized from transfer activities of business model in spin-off entrepreneurship can also bring inspirations to both parent enterprises and spin-off start-ups.

Excavates process and mechanism of business model transfer from internal to external, extends the theoretical perspectives about existing related theories such as corporate entrepreneurship, spin-off entrepreneurship and business model theory and reveals new approaches and methods on business model design, which is different from the past way.

The purpose of this paper is to establish a rigid–flexible coupling model of wind turbine disc brake to simulate the actual working condition of the wind turbine brake and to study the dynamic characteristics of the compensation mechanism under different friction coefficients and braking force. It provides reference for the structure design and optimization of the compensation mechanism (compensation brake wear) in the wind turbine brake.

Based on multi-body contact dynamics theory, the rigid‒flexible coupling dynamic model of wind turbine brakes with compensation mechanism is established, in which the contact process of the components in the compensation mechanism and the phenomenon of rotation and return are described dynamically, and the rotation angle of the compensation nut and the axial displacement response of the compensation screw are calculated under different parameters.

The analysis results show that the braking reliability of the brake compensation mechanism can be effectively improved by increasing the friction coefficient of threads or increasing the friction of push rod contact surface; increasing the braking force can also improve the reliability of brake compensation mechanism, but when the braking force comes over a critical value, the effect of braking force on the reliability of the brake is very small. The braking test verifies the effectiveness of the simulation results.

Analyzing the influence of compensation mechanism on braking reliability in the braking process is of great practical significance for improving the braking efficiency and process safety of wind turbine brake.

The purpose of this paper is to study management control mechanisms (social, behavioral, and output control mechanisms) and their complementary effects on firm performance in lean manufacturing firms.

The study uses second-order structural equation modeling to analyze survey data from 368 different lean manufacturing facilities.

The paper finds that the complementary effects of management control mechanisms in lean manufacturing firms outweigh their additive effects on firm performance.

Applying isolated lean management control mechanisms leads to inferior performance, as these management control mechanisms are complementary. Thus, to realize the full potential of lean manufacturing, this paper suggests that lean management control mechanisms should be implemented as an integrated control system.

Firms seeking to benefit from the implementation of lean manufacturing should understand the complementarity among the management control mechanisms, as the performance effects of lean management control mechanisms when applied together are greater than their isolated additive effects.

This paper is the first to provide empirical evidence of the superior firm performance effects of complementary lean management control mechanisms compared with their additive effects. This paper also expands the understanding of how to conceptualize lean management control mechanisms. Specifically, this is the first paper to distinguish between social cultural control and social visual control mechanisms as well as between non-financial and financial control mechanisms. This paper is also the first to use a second-order structural equation model to properly test and account for the complementary effects on firm performance that stem from multiple control mechanisms.