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The purpose of this paper is to comment on Peter Ping Li’s understanding of Zhong-Yong balancing, presented in his article titled “Global implications of the indigenous epistemological system from the East: How to apply Yin-Yang balancing to paradox management.” Seeing his understanding of Zhong-Yong balancing being incorrect and incomplete, the author proposes an alternative perspective on Zhong-Yong as dynamic balancing between Yin-Yang opposites.

The author first explain why Peter P. Li’s “asymmetry” and “superiority” arguments are flawed by referring to the original text of the classical book of Zhong-Yong (中庸) and a comparison between Zhong-Yong and Aristotle’s doctrine of the mean. The author then propose an alternative approach to Zhong-Yong balancing that is embedded in the original text Zhong-Yong but somehow has been neglected by many Chinese scholars. The author concludes the commentary by unifying the two alternative approaches to Zhong-Yong balancing under the inclusion-selection-promotion-transition (ISPT) framework of Zhong-Yong balancing.

There are three main findings. First, as the original text of Zhong-Yong does not prescribe asymmetry, Peter P. Li’s notion of “Yin-Yang balancing” is ironically unbalanced or anti-Zhong-Yong due to his emphasis on asymmetry to the exclusion of symmetry. Second, due to the equivalency between Zhong-Yong and Aristotle’s doctrine of the mean, Peter P. Li’s assertion that “Yin-Yang balancing” is superior as a solution to paradox management is flawed. Third, his “Yin-Yang balancing” solution is only (the less sophisticated) one of two alternative approaches to Zhong-Yong balancing, i.e., ratio-based combination of Yin-Yang opposites. What Peter P. Li and many other Chinese have neglected is another approach to Zhong-Yong that is embedded in the original text of Zhong-Yong, which I call “analysis plus synthesis.”

As it is a commentary there are no specific limitations except for what can be covered in the space available.

The “analysis plus synthesis” approach to Zhong-Yong can be adopted by practitioners who are demanded to balance between opposite forces in daily life and work.

The rejection of the “Yin-Yang balancing being superior” assertion facilitates reduction of friction and non-cooperation between intellectual traditions.

This commentary contributes to the “West meets East” discourse by debunking Peter P. Li’s assertion that Yin-Yang balancing is superior as a solution to paradox management and his prescription that balancing between Yin-Yang opposites must be asymmetric. It also contributes to the Chinese indigenous management research by identifying a largely neglected approach to Zhong-Yong balancing (i.e. “analysis plus synthesis”) that is alternative to the commonly understood ratio-based combination approach (e.g. “Yin-Yang balancing”). In addition, it contributes to the management literature by proposing the ISPT framework of Zhong-Yong balancing.

This paper presents an investigation on the line balancing of an automated cylinder block production transfer line in order to reduce the total cycle time and increase machine utilization in an automotive plant. Results were verified by computer simulation, which showed increased throughput and higher machine utilization as a result of line balancing.

Three main operation lines of the transfer line were identified as critical and having the highest cycle time and were chosen for optimisation study. Strategies of re‐sequencing of existing operations and tools were used to reduce the cycle time of these critical operations and to balance the line. Results of a simulation study using Simul8 software are also presented to demonstrate the increase in machine utilisation and throughput as a result of line balancing.

Owing to line balancing, the cycle time of cylinder block line was reduced from 293.9 to 200 s, an almost 32 per cent reduction. This also resulted in increased throughput and machine utilisation. Throughput was increased by 65 per cent. Machine utilization was found to increase at all stations, with the highest increase at one station was recorded from 48 to 95 per cent due to balancing.

Introduces a new application to line balancing of automotive cylinder block production line. Demonstrates that effective strategies of re‐sequencing and changing of tools can lead to more balanced production line with increased throughput and higher machining utilisation, resulting in higher productivity.

Purpose – The author introduces the Eastern philosophy of wisdom, especially its epistemology of Yin-Yang Balancing as the Eastern cognitive frame, to shed light on the debates over the distinction and integration between research and practice as well as between qualitative and quantitative methods so as to solve the problems of relevance-rigor gap as well as complexity-simplicity gap. The author also applies the frame of Yin-Yang Balancing to the development of a novel method of case study.

Methodology/Approach – This is a conceptual article.

Central theme – The Eastern philosophy of wisdom is better at an open-minded exploration of open-ended issues by emphasizing relevance and complexity, while the Western philosophy of science is better at a closed-minded exploitation of close-ended issues by emphasizing rigor and simplicity. A geocentric integration of both Eastern and Western philosophies is needed.

Research and practical implications – Management research is far behind the need for theoretical insights into practical solutions largely due to the increasing gaps between relevance and rigor as well as between complex problems and simple solutions. The root cause of the two gaps lies in the overreliance on the Western philosophy of science, so a new light can be found in the Eastern philosophy of wisdom, and the ultimate solution is a geocentric integration of Eastern and Western philosophies. A novel method of case study can be built by applying the Eastern philosophy.

Originality/Value – The author highlights the urgent needs for the Eastern philosophy of wisdom and its integration with the Western philosophy of science toward a geocentric meta-paradigm. As a specific application of the geocentric meta-paradigm, the author proposes a novel method of case study called Yin-Yang Method.

Sharding of blockchains consists of partitioning a blockchain network into several sub-networks called “shards,” each shard processing and storing disjoint sets of transactions in parallel. Sharding has recently been applied to public blockchains to improve scalability through parallelism. The throughput of sharded blockchain is optimized when the workload among the shards is approximately the same. The purpose of this paper is to investigate the problem of balancing workload of account-based blockchains such as Ethereum.

Two known consensus-based distributed load-balancing algorithms have been adapted to sharded blockchains. These algorithms migrate accounts across shards to balance transaction processing times. Two methods to predict transaction processing times are proposed.

The authors identify some challenging aspects for solving the load-balancing problem in sharded blockchains. Experiments conducted with Ethereum transactions show that the two load-balancing algorithms are challenged by accounts often created to process a single transaction to optimize anonymity, while existing accounts sparsely generate transactions.

Tests in this work have been conducted on transactions originating from a blockchain platform rather than using artificially generated data distributions. They show the specificity of the load-balancing problem for sharded blockchains, which were hidden in artificial data sets.

This paper briefly reviews the assembly line balancing techniques developed over the last 30 years. It attempts to establish the direction of research, to identify unexplored areas with potential for study and recommends future courses of action.

The purpose of this paper is to present empirical evidence of risk balancing behavior by European farmers. More specifically, the authors investigate strategic adjustments in the level of financial risk (FR) in response to changes in the level of business risk (BR).

The authors conducted a correlation relationship analysis and run several linear fixed effects regression models using the European Union (EU)-15 FADN panel data set for the period 1995-2008.

Overall, the paper finds EU evidence of risk balancing. The correlation relationship analysis suggests that just over half of the farm observations are risk balancers whereas the other (smaller) half are not. The coefficient in our fixed effects regression suggests that a 1 percent increase in BR reduces FR by 0.043 percent and has a standard error so low that the existence of non-risk balancers is doubtful. The results reject evidence of strong-form risk balancing – inverse trade-offs between FR and BR keeping total risk (TR) constant – but cannot reject weak-form risk balancing – inverse trade-offs between FR and BR with some observed changes in TR. Furthermore, the extent of risk balancing behavior is found to differ between different European countries and across farm typologies.

This study provides European policy makers a first insight into risk balancing behavior of EU farmers. When risk balancing occurs, BR-reducing agricultural policies induce strategic upwards leverage adjustments that unintentionally reestablish or even increase total farm-level risk.

Making use of the large and unique FADN database, to the best of the authors knowledge, this study is the first that provides European (EU-15) evidence on risk balancing behavior, is conducted at an unprecedented large scale, and presents the first risk balancing evidence across countries and farming systems.

Load balancing is an important issue for a heterogeneous distributed computing system environment that has been proven to be a nondeterministic polynomial time hard problem. This paper aims to propose a resource-aware load balancing (REAL) model for a batch of independent tasks with a centralized load balancer to make the solution appropriate for a practical heterogeneous distributed environment having a migration cost with the objective of maximizing the level of load balancing considering bandwidth requirements for migration of the tasks.

To achieve the effective schedule, load balancing issues should be addressed and tackled through efficient workload distribution. In this approach, the migration has been carried out in two phases, namely, initial migration and best-fit migration. Using the best-fit policy in migrations helps in the possible performance improvement by minimizing the remaining idle slots on underloaded nodes that remain unentertained during the initial migration.

The experimental results reveal that the proposed model exhibits a superior performance among the other strategies on considered parameters such as makespan, average utilization and level of load balancing under study for a heterogeneous distributed environment.

Design of the REAL model and a comparative performance evaluation with LBSM and ITSLB have been conducted by using MATLAB 8.5.0.

Cycle time fluctuations in assembly lines are one of the important reasons of re‐balancing. As a result of re‐balancing of assembly lines, it will be necessary to change task sequences or equipment locations. The purpose of this paper is to find the task sequence which enables assembly line balancing (ALB) with minimum number of stations (NS) for different cycle times such that tasks and equipment or fixture locations remain unchanged.

In this paper a heuristic which consist of two stages is proposed to find a common task sequence for different cycle times in assembly lines.

It is shown that optimal NS for different cycle times can be achieved with a fixed task sequence.

The approach is limited to a single model case. Model variety together with cycle time variety can be investigated in further studies.

Assembly lines which require less time and cost for re‐balancing can be easily designed by the proposed approach.

ALB problem is handled with a new viewpoint. Also, it is observed that the proposed approach serves as a bridge between assembly line design and balancing. In this regard, it is thought to have an important place in the ALB literature.

Changing the product characteristics and demand quantity resulting from the variability of the modern market leads to re-assigned tasks and changing the cycle time on the production line. Therefore, companies need re-balancing of their assembly line instead of balancing. The purpose of this paper is to propose an efficient algorithm approach for U-type assembly line re-balancing problem using stochastic task times.

In this paper, a genetic algorithm is proposed to solve approach for U-type assembly line re-balancing problem using stochastic task times.

The performance of the genetic algorithm is tested on a wide variety of data sets from literature. The task times are assumed normal distribution. The objective is to minimize total re-balancing cost, which consists of workstation cost, operating cost and task transposition cost. The test results show that proposed genetic algorithm approach for U-type assembly line re-balancing problem performs well in terms of minimizing total re-balancing cost.

Demand variation is considered for stochastic U-type re balancing problem. Demand change also affects cycle time of the line. Hence, the stochastic U-type re-balancing problem under four different cycle times are analyzed to present practical case.

As per the authors’ knowledge, it is the first time that genetic algorithm is applied to stochastic U-type re balancing problem. The large size data set is generated to analyze performance of genetic algorithm. The results of proposed algorithm are compared with ant colony optimization algorithm.

This paper aims to present the optimum two-plane discrete balancing procedure for rigid rotor. The discrete two-plane balancing in which rotor is balanced to minimize the residual effects or the reactions on the bearing supports using discrete parameters such as masses and their angular positions on two balancing planes.

Therefore as a multi-objective optimization problem is formulated by considering reaction forces on the bearing supports as a multi objective functions and discrete parameters on each balancing plane as design variables. These multi-objective functions are converted into a single-objective function using appropriate weighting factors. Further, this optimization problem is solved using discrete optimization algorithm, based on Jaya algorithm.

The performance of the discrete Jaya algorithm is compared to genetic algorithm (GA) algorithm. It is found that Jaya algorithm is computationally more efficient than GA algorithm. A number of masses per plane are used to balance the rotor. A comparison of reaction forces using number of masses per plane is investigated.

The effectiveness of the proposed methodology is tested by the balancing problem of rotor available in the literature. The influence of a number of balance masses on bearing forces and objective function are discussed. ADAMS software is used for validation of a developed balancing approach.