Purpose The demand for energy is increasing massively due to urbanization and industrialization. Due to the massive usage of diesel engines in the transportation sector, global warming is increasing rapidly. The purpose of this paper is to use hydrogen as the potential alternative for diesel engine. Design/methodology/approach A series of tests conducted in the twin cylinder four stroke diesel engine at various engine speeds. In addition to the hydrogen, the ultrasonication is applied to add the nanoparticles to the neat diesel. The role of nanoparticles on engine performance is effective owing to its physicochemical properties. Here, neat diesel mixed 30% of biodiesel along with the hydrogen at the concentration of 10%, 20% and 30% and 50 ppm of graphite oxide to form the blends DNH10, DNH20 and DNH30. Findings Inclusion of both hydrogen and nanoparticles increases the brake power and brake thermal efficiency (BTE) of the engine with relatively less fuel consumption. Compared to all blends, the maximum BTE of 33.3% has been reported by 30% hydrogen-based fuel. On the contrary, the production of the pollutants also reduces as the hydrogen concentration increases. Originality/value Majority of the pollutants such as carbon monoxide, carbon dioxide and hydrocarbon were dropped massively compared to diesel. On the contrary, there is no reduction in nitrogen of oxides (NOx). Highest production of NOx was witnessed for 30% hydrogen fuel due to the premixed combustion phase and cylinder temperatures.

INTRODUCTION: Effective (JSS) was required in the manufacturing industry to satisfy demand productivity, reduce production costs, and increase competitiveness in a market that was becoming more active and demanding of a variety of goods.OBJECTIVES: The (JSSP) has gained importance in recent years as a result of rising customer demand across a variety of categories, shifting markets due to increased global competition, and the quick development of new technology. The proper scheduling and sequencing of jobs on machines was one of the fundamental and important issues that a shop or factory management faces.METHODS: Different machines can be found in a shop, and depending on the task, one or more of these equipment may need to be used in a particular order. The aim in correcting this issue might be to reduce the make span. For each machine, the jobs sequencing must be done once the make span had been reduced.RESULTS: To solve these issues, (GOA) was used to reduce make span time. Both jobs and machines were fed as an input to the proposed optimization and to found optimal job scheduling with low make span time. The outcome of the proposed work was compared the outcomes of various optimization strategies in JSSP in order to minimize the make span time. CONCLUSION:  The objective of optimization was to reduce the total amount of time or duration required to complete a task.  A proposed gannet optimization method was employed to reduce the make span time in various sectors to resolve the job shop scheduling problem.