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The purpose of this paper is to present the collecting price decisions of used products in reverse supply chains based on the following cases: manufacturer for collecting and processing, third party for collecting and manufacturer for processing, retailer for collecting and manufacture for processing, and third party for collecting and processing.

The paper considers a recycling channel whereby a manufacturer collects and processes the used products or delegates collecting (or processing) to the retailer or a third party; characterizes the steps of processing a returned used product; gives a collection function of used products which is an increasing function of the collecting price, since the quantity of returned used products is affected by the end customer's willingness and the end customer's willingness is affected by the collecting price. The optimal results were obtained by game theory.

By investigating the pricing decisions for different cases, the manufacturer prefers to collect the used products rather than delegate to others if manufacturer for processing, and a third party joining the reverse supply chains hopes to collaborate more deeply, not only collecting but also processing the used products.

The main implication is that the reusing ratio of the returned used products and the remanufacturing ratio of the key parts have impacts on the optimal pricing decisions of reverse supply chains.

The paper describes a very useful method for managers to make collecting price decisions for reverse supply chains.

The paper provides the optimal results of collecting price decisions. The paper contributes to the reverse supply chains researches and managers who are responsible for the reverse supply chains.

This paper aims to introduce corporate social responsibility into the green supply chain and analyse the impact of different decision makers’ decision-making schemes on carbon emission reduction in the supply chain.

This study uses a two-stage low-carbon supply chain composed of a manufacturer and retailer as the research object. It uses the Stackelberg game model to analyse optimal carbon emission reduction and its influence under different decision-making modes.

Increased consumer green preferences and trust can improve the manufacturing enterprises’ carbon emission reduction rate. The carbon emission reduction rate decreases with increased green innovation costs. When green technology innovation costs remain constant, the greater the market capacity, the higher the carbon emission reduction rate. Market capacity has the most significant impact on the optimal carbon emission reduction rate without considering social responsibility decisions and has the least impact on the optimal carbon emission reduction rate while fully considering the social responsibility decision. To achieve decarbonisation production, the market capacity must be small, and when green innovation costs are high, it is the optimal choice without considering social responsibility. To achieve a higher level of carbon emission reduction, when the market capacity is low and the research and development cost is high or when the market capacity is large, it is the optimal choice.

The results provide scientific policy decisions and management significance for governments and enterprises in low-carbon subsidies and supply chain management. The findings also provide a basis for future theoretical research and enterprise practice.

The purpose of this paper is to provide scientific guidance for the integration of industrialization and information (TIOII). In recent years, TIOII has promoted the development of intelligent manufacturing in China. However, many enterprises blindly invest in TIOII, which affects their normal production and operation.

This study establishes an efficiency evaluation model for TIOII. In this paper, entropy analytic hierarchy process (AHP) constraint cone and cross-efficiency are added based on traditional data envelopment analysis (DEA) model, and entropy AHP–cross-efficiency DEA model is proposed. Then, statistical analysis is carried out on the integration efficiency of enterprises in Guangzhou using cross-sectional data, and the traditional DEA model and entropy AHP–cross-efficiency DEA model are used to analyze the integration efficiency of enterprises.

The data show that the efficiency of enterprise integration is at a medium level in Guangzhou. The efficiency of enterprise integration has no significant relationship with enterprise size and production type but has a low negative correlation with the development level of enterprise integration. In addition, the improved DEA model can better reflect the real integration efficiency of enterprises and obtain complete ranking results.

By adding the entropy AHP constraint cone and cross-efficiency, the traditional DEA model is improved. The improved DEA model can better reflect the real efficiency of TIOII and obtain complete ranking results.

The purpose of this paper is to compare the contribution of organizational intelligence quotient (OIQ) and organizational emotional quotient (OEQ) for intelligent organizations.

This paper develops a framework of OIQ and OEQ, based on the structure of intellectual capital (intellectual capital). Then, a specific questionnaire is designed and sent to ten national research institutes in China. Data from nine of them are analyzed as case study samples.

Data show that intelligent organizations are related with high OIQ as well as high OEQ. In the case of average-intelligent organizations, even if around high-IQ employees, “collective stupidity” caused by the failure of synergy of structural capital is the major gap to be a smart organization, just like a football team grouped by brilliant players always loses due to the dearth of coordination. OEQ, or the synergy between structural capital and human capital, is the critical point to avoid collective stupidity for organizations with intelligent employees.

Research results are based on case study in a particular country. Measurement tools for OIQ and OEQ are in bound of the IC concept.

The paper helps organizations to find out the critical problems causing collective stupidity in a changing environment.

Analogic to human beings’ intelligence, this paper develops a frame of OIQ and OEQ, and compares their contribution to intelligent organization building in a changing environment.

The purpose of this paper is to give a novel sensor‐less manipulation strategy for the high‐precision assembly of an eccentric peg into a hole.

Based on the authors' previous work on the attractive region, this paper proposes the sensorless eccentric peg‐hole insertion strategy. The analysis is based on the visible strategic behaviors by decomposing the high‐dimensional configuration space of the eccentric peg‐hole into two low dimensional configuration subspaces. Then, the robotic manipulations can be designed in the configuration subspaces. Finally, a typical industry application, fitting an eccentric crankshaft into a bearing hole of the automotive air‐conditioners, is used to validate the presented strategy.

The attractive region constructed in the configuration space has been applied to guide the robotic manipulations, such as, the locating and the insertion.

The designed robotic assembly system without using force sensor or flexible wrist has an advantage in terms of expense and durability for the automotive air‐conditioners manufacturing industry.

Most previous work on sensorless manipulation strategy has concentrated on inserting a symmetric peg into a hole. However, for the assembly of an eccentric peg into a hole, the robotic manipulations should be explored in a high‐dimensional configuration space as the six‐DOFs of the eccentric peg. In this paper, the decomposition method of the high‐dimensional configuration space would make the system analysis visible; then, the assembly strategy can be easily designed in the two subspaces.

This paper aims to present an adaptive sliding mode control (ASMC) for tunnel boring machine cutterhead telescopic system with uncertainties to achieve a high-precision trajectory in complex strata. This method could be applied to solve the problems caused by linear and nonlinear model uncertainties.

First, an integral-type sliding surface is defined to reduce the static tracking error. Second, a projection type adaptation law is designed to approximate the linear and nonlinear redefined parameters of the electrohydraulic system. Third, a nonlinear robust term with a continuous approximation function is presented for handling load force uncertainty and reducing sliding mode chattering. Moreover, Lyapunov theory is applied to guarantee the stability of the closed-loop system. Finally, the effectiveness of the proposed controller is proved by comparative experiments on a scaled test rig.

The linear and nonlinear model uncertainties lead to large variations in the dynamics of the mechanism and the tracking error. To achieve precise position tracking, an adaptation law was integrated into the sliding mode control which compensated for model uncertainties. Besides, the inherent sliding mode chattering was reduced by a continuous approximation function, while load force uncertainty was solved by a nonlinear robust feedback. Therefore, a novel ASMC for tunnel boring machine cutterhead telescopic system with uncertainties can improve its tracking precision and reduce the sliding mode chattering.

To the best of the authors’ knowledge, the ASMC is proposed for the first time to control the tunnel boring machine cutterhead telescopic system with uncertainties. The presented control is effective not only in control accuracy but also in parameter uncertainty.

With the twin screw extruder being widely used, there are a lot of parameters considered in the method, and the extruder’s volume is an important parameter of twin screw extruders among them. In this paper, some of the extruder parameters such as the impacting extruder volume are introduced, and the mathematical relationship in these parameters is interpreted. The minimum power consumption is the goal of the authors’ structural design.

This paper further applies genetic algorithm, a kind of intelligent optimization methods, to obtain the most optimized design dimension, and power consumption function related to unit output of extruder is used as the optimizing target. Meanwhile, this paper takes channel depth of feeding section, channel depth of extrusion section affecting the energy consumption, the width of flight top and helix angle as design variables.

By using genetic algorithm, the optimal structure size is obtained, and the power consumption is minimum.

With the use of optimizing the structure, the power of consumption is reduced. This method has important economic significance and important social significance on energy saving.

Given the importance of environmental protection and the crucial role of manufacturing firms in environmental degradation, the purpose of this research is to investigate the impact of green intellectual capital (GIC) on firms' green performance (GP), mediating effects of ambidextrous green innovation (GI) and moderating role of technological turbulence (TT).

The study employed a quantitative research approach with the partial least square structural equation modeling (PLS-SEM) methodology to assess the proposed relationships among the constructs on a sample of 334 executives from 134 medium and large-sized manufacturing firms.

The findings show that GIC significantly impacts different aspects of GP, including green management, green process and green product performance. Moreover, exploitative and exploratory GI serves as mediators between GIC and firms' GP. Finally, the findings demonstrate that TT moderation enhanced the effects of GIC on exploratory GI, while decreasing the effects of GIC on exploitative GI.

The research offers valuable insights and a novel strategy for manufacturing firms and policymakers to mitigate environmental degradation and attain sustainable GP by stimulating ambidextrous GI through green intangible resources.

This research adds to the current GIC, GI and GP literature by focusing on green environmental issues using the resource-based view (RBV) theory. This research also provides a significant theoretical and practical justification for explaining the relationships by differentiating ambidextrous GI between exploitative and exploratory GI's mediating effects and TT's moderating effects.

Given the critical importance of green innovation (GI) for organizations in developing economies, this study aims to examine the interrelationship between knowledge management (KM) enablers, KM processes and GI. The research also indicates that certain combinations of KM enabler dimensions and KM processes can lead to better GI.

The study sample consists of 328 participants from Pakistan's medium- and large-sized manufacturing enterprises. Smart PLS 3.2.9 is used to verify the relationships. Moreover, the fuzzy set qualitative comparative analysis (fsQCA) investigates configurational paths for improving GI.

The results demonstrate that KM enablers significantly affect two aspects of GI – green product and process innovation – and KM processes. Moreover, KM processes significantly enhance two aspects of GI. The fsQCA findings indicate multiple combinations of KM enablers and KM processes dimensions that result in better GI.

To better understand the critical role of knowledge resources, future studies should explore the potential mediating mechanisms of KM processes or the moderating effects of strategic organizational factors in the relationship between KM enablers and GI.

The study offers valuable insight and a unique approach for policymakers and executives of corporations in developing countries to enhance their organizations' GI capacity through KM enablers and KM processes.

This research contributes to bridging research gaps in the literature and advances insights into the interrelationship among KM enablers, KM processes and GI. In addition, the study offers methodological significance by combining direct and configurational techniques to address two distinct facets of GI.

This paper aims to evaluate the inhibitive effect and adsorption behavior of the 2-amino-5-thiol-1,3,4-thiadiazole vanillin (A) on copper in 3 per cent NaCl solution.

A thiazole Schiff bases were synthesized, named, 2-amino-5-thiol-1,3,4-thiadiazole vanillin (A), which was fabricated respectively on copper surface by the molecular self-assembled. Evaluation was carried out by electrochemical measurement and surface analysis techniques. Measurement of static friction coefficient scanning electron microscopy and Contact angle analysis were applied, and it is finally confirmed the existence of the adsorbed film. The inhibitive mechanism of A was evaluated by means of quantitative calculation and molecular dynamics simulation.

The electrochemical measurement indicated that the self-assembled molecular film can effectively inhibit the corrosion of copper sheet, when the concentration was 15 mmol⋅L⁻¹ and the assembly time was 6 h, the corrosion inhibition effect was the best, reaching as high as 97.5 per cent. Scanning electron microscopy results showed that the Schiff base compound forms a protective film on the surface of the copper, which effectively blocks the transfer of corrosion particles to the metal substrate, thereby inhibiting the occurrence of corrosion. Adsorption behavior of A followed the Langmuir’s adsorption isotherm and attributed to mixed-type adsorption. The results of Quantitative calculation and molecular dynamics simulation showed that A was adsorbed on Cu (111) surface in parallel.

In this study, the corrosion inhibition properties of Schiff base film were investigated by combining theory with experiment. Theoretical calculation is helpful to guide the synthesis of efficient and environmentally friendly corrosion inhibitors.

The damage caused by metal corrosion is great. The self-assembled Schiff base membrane synthesized in this paper is simple and compact, and the corrosion inhibition efficiency of copper in 3 per cent NaCl solution is 97.5 per cent.

Inhibition of metal corrosion can better save energy and reduce economic losses.

The synthesized Schiff base was prepared on the copper surface by the molecular self-assembled. The Schiff base membrane has a good corrosion inhibition effect on copper in 3 per cent NaCl solution, and the corrosion inhibition efficiency is up to 97.5 per cent.