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Describes a small investigation into keeping safe around fireworks with Key Stage 1 pupils. The investigation used the draw and write technique to find out what children in years 1 and 2 already knew about safety in relation to fireworks. Finds that many were already aware of the danger from fireworks, particularly the need to keep behind a barrier of some kind, and the importance of not putting fireworks in pockets. Year 2 children were much more aware that fireworks could hurt or even kill them. Describes a series of exercises that can provide a starting point for further work to reinforce the message that care needs to be exercised when watching fireworks. Makes suggestions for follow‐up work.

This study aims to probe into the effect of tourists’ novelty-seeking on situation involvement and satisfaction for the Yanshuei Fireworks Festival in Taiwan.

This study investigated 302 tourists participating in the Fireworks Festival and constructed causal relations among variables by structural equation modeling.

The results suggested that when tourists’ novelty-seeking in fireworks festival is stronger, their situation involvement in the activity will be immediately enhanced. When fireworks festival participants’ situation involvement is higher, their satisfaction is also higher. Situation involvement has a complete mediating effect between novelty-seeking and satisfaction.

Because the fireworks festival only lasts for 48 hours, and the subjects must be tourists who have just experienced fireworks, it can only adopt convenience sampling instead of random sampling. However, to avoid homogeneity, in each group, this study only selected one person for the questionnaire survey.

First, they should enhance the designed activities to create novelty; for instance, design the instruction and practice of the manufacturing of fireworks. By explanation, they enhance tourists’ learning about the display of fireworks and folk religion to satisfy participants with different degrees of novelty-seeking. Second, they can enhance the construction of situations for playfulness. For instance, upon the condition of security, the units can allow tourists to arrange fireworks independently or by group to have more fun. In addition, every year, they can display fireworks according to the Chinese Zodiac symbols to satisfy tourists’ desire of novelty-seeking and enhance their satisfaction.

From the perspective of theoretical development, this study explores and validates the mediating effects of tourists’ situation involvement in festivals between novelty-seeking and satisfaction to fill the gap of previous research.

Pricing, Marketing Management, Strategic Marketing.

The case can be used for pricing course besides Marketing Management and Strategic Management course to MBA students and/or for Management Development Programmes.

ABC Fireworks Private Limited, located in Saharanpur, was into business of manufacturing fireworks under the brand name of Radiance. The owner Mr Sudhir Kapoor was satisfied with the present revenue growth and profit margin except that the cash flow was quite intermittent. The consumption pattern of Indian fireworks industry was highly skewed. Approximately 90 per cent of the entire year manufactured stock had retail market of just 5 days ahead of Diwali festival. To cater to this massive demand, the production was carried out for the whole year. Mr Kapoor was planning to restructure pricing policy so as to have regular cash flow throughout the year. To meet this objective, he was considering price promotion strategy as a preferred option which would enable his marketing team to offer specific discounts to stockists using time slab mechanism. The fireworks industry had four channel distribution processes. The product line was broadly divided into three categories, namely, sound, aerial shots and sparkles. The organization was not into manufacturing of aerial shots product category but was planning to make a foray into it. The case provides interesting insights into pricing dynamics prevalent in the Indian fireworks industry. It includes first-hand information about fireworks price, cost break-up and profit distribution among various members of the industry's value chain.

The case enables students to learn the concept and application of pricing, price-based promotion, discounts and price waterfall analysis in the firework industry.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

The purpose of this paper is to apply firework optimization algorithm to optimize multi-matching selective assembly problem with non-normal dimensional distribution.

In this paper, a multi-matching selective assembly approach based on discrete fireworks optimization (DFWO) algorithm is proposed to find the optimal combination of mating parts. The approach introduces new operator with the way of 3-opt and also uses a stochastic selection strategy, combines the discrete selective assembly problem with firework optimization algorithm properly and finds the best combination scheme of mating parts with non-normal dimensional distributions through powerful global search capability of the firework optimization algorithm.

The effects of different control parameters, including the number of initial fireworks and the coefficient controlling the total number of sparks generated by the fireworks on the evolution performance, are discussed, and a promising higher performance of the proposed selective assembly approach is verified through comparison with other selective assembly methods.

The best combination of mating parts is realized through the proposed selective assembly approach, and workers can select suitable mating parts under the guidance of the combination to increase the assembly efficiency and reduce the amount of surplus parts.

A DFWO algorithm is first designed to combine with multi-matching selective assembly method. For the case of an assembly product, the specific mapping rule and key technologies of DFWO algorithm are proposed.

The fireworks industry is a dangerous business. Many disasters occur due to manufacturing and use of fireworks. It has been recorded that there have been 15 disasters resulting from fireworks worldwide. Malaysia has experienced such tragedies through a fire and explosion of Bright Sparklers fireworks factory. This paper summarizes the sequence of events which led to the Bright Sparkler disaster and proposes some lessons which could be learned from the experience.

Assembly sequence planning (ASP) plays a vital role in assembly process because it directly influences the feasibility, cost and time of the assembly process. The purpose of this study is to solve ASP problem more efficiently than current algorithms.

A novel assembly subsets prediction method based on precedence graph is proposed to solve the ASP problem. The proposed method adopts the idea of local to whole and integrates a simplified firework algorithm. First, assembly subsets are generated as initial fireworks. Then, each firework explodes to several sparks with higher-level assembly subsets and new fireworks are selected for next generation according to selection strategy. Finally, iterating the algorithm until complete and feasible solutions are generated.

The proposed method performs better in comparison with state-of-the-art algorithms because of the balance of exploration (fireworks) and exploitation (sparks). The size of initial fireworks population determines the diversity of the solution, so assembly subsets prediction method based on precedence graph (ASPM-PG) can explore the solution space. The size of sparks controls the exploitation ability of ASPM-PG; with more sparks, the direction of a specific firework can be adequately exploited.

The proposed method is with simple structure and high efficiency. It is anticipated that using the proposed method can effectively improve the efficiency of ASP and reduce computing cost for industrial applications.

The proposed method finds the optimal sequence in the construction process of assembly sequence rather than adjusting order of a complete assembly sequence in traditional methods. Moreover, a simplified firework algorithm with new operators is introduced. Two basic size parameters are also analyzed to explain the proposed method.

Parameter identification is an important issue in structural health monitoring and damage identification for concrete dams. The purpose of this paper is to introduce a novel adaptive fireworks algorithm (AFWA) into inverse analysis of parameter identification.

Swarm intelligence algorithms and finite element analysis are integrated to identify parameters of hydraulic structures. Three swarm intelligence algorithms: AFWA, standard particle swarm optimization (SPSO) and artificial bee colony algorithm (ABC) are adopted to make a comparative study. These algorithms are introduced briefly and then tested by four standard benchmark functions. Inverse analysis methods based on AFWA, SPSO and ABC are adopted to identify Young’s modulus of a concrete gravity dam and a concrete arch dam.

Numerical results show that swarm intelligence algorithms are powerful tools for parameter identification of concrete structures. The proposed AFWA-based inverse analysis algorithm for concrete dams is promising in terms of accuracy and efficiency.

Fireworks algorithm is applied for inverse analysis of hydraulic structures for the first time, and the problem of parameter selection in AFWA is studied.

The purpose of this paper is to improve energy efficiency and further reduction of side lobe level the algorithm proposed is firework algorithm. In this paper, roused by the eminent swarm conduct of firecrackers, a novel multitude insight calculation called fireworks algorithm (FA) is proposed for work enhancement. The FA is introduced and actualized by mimicking the blast procedure of firecrackers. In the FA, two blast (search) forms are utilized and systems for keeping decent variety of sparkles are likewise all around planned. To approve the presentation of the proposed FA, correlation tests were led on nine benchmark test capacities among the FA, the standard PSO (SPSO) and the clonal PSO (CPSO).

The antenna arrays are used to improve the capacity and spectral efficiency of wireless communication system. The latest communication systems use the antenna array technology to improve the spectral efficiency, fill rate and the energy efficiency of the communication system can be enhanced. One of the most important properties of antenna array is beam pattern. A directional main lobe with low side lobe level (SLL) of the beam pattern will reduce the interference and enhance the quality of communication. The classical methods for reducing the side lobe level are differential evolution algorithm and PSO algorithm. In this paper, roused by the eminent swarm conduct of firecrackers, a novel multitude insight calculation called fireworks algorithm (FA) is proposed for work enhancement. The FA is introduced and actualized by mimicking the blast procedure of firecrackers. In the FA, two blast (search) forms are utilized and systems for keeping decent variety of sparkles are likewise all around planned. To approve the presentation of the proposed FA, correlation tests were led on nine benchmark test capacities among the FA, the standard PSO (SPSO) and the clonal PSO (CPSO). It is demonstrated that the FA plainly beats the SPSO and the CPSO in both enhancement exactness and combination speed. The results convey that the side lobe level is reduced to −34.78dB and fill rate is increased to 78.53.

Samples including 16-element LAAs are conducted to verify the optimization performances of the SLL reductions. Simulation results show that the SLLs can be effectively reduced by FA. Moreover, compared with other benchmark algorithms, fireworks has a better performance in terms of the accuracy, the convergence rate and the stability.

With the use of algorithms radiation is prone to noise one way or other. Even with any optimizations we cannot expect radiation to be ideal. Power dissipation or electro magnetic interference is bound to happen, but the use of optimization algorithms tries to reduce them to the extent that is possible.

16-element linear antenna array is available with latest versions of Matlab.

The latest technologies and emerging developments in the field of communication and with exponential growth in users the capacity of communication system has bottlenecks. The antenna arrays are used to improve the capacity and spectral efficiency of wireless communication system. The latest communication systems use the antenna array technology which is to improve the spectral efficiency, fill rate and the energy efficiency of the communication system can be enhanced.

By using FA, the fill rate is increased to 78.53 and the side lobe level is reduced to 35dB, when compared with the bench mark algorithms.