Critical section problem and solutions ADVISOR: Sir Tanweer Arshad Presentation By: Abiha Ayub 2013-CE-63 December 23,2015 CRITICAL SECTION PROBLEM AND SOLUTIONS Critical Section: The section of code that requires exclusive access to a shared resourse to ensure correct operation. Critical Section Problem: The critical section problem refers to the problem of how to ensure that at most one process is executing its critical section at a given time. Solutions to Critical Section Problem Three solutions to the critical section problem …show more content…
When a process that has exited the critical section re enters, it will give away the turn. If other process is waiting already then it will be the next one to proceed. This algorithm satisfies all three requirements for solution to critical section problem.So this is the correct solution to critical section problem. N-Process Critical Section Problem Now consider a system of n processes (Po, P1 …… Pn-1). Many solutions are available to solve the N-process critical section problem.we consider Bakery algorithm here. Lamports’s Bakery Algorithm Each process in the Bakery Algorithm has an id.These ids are ordered.Before entering in its CS,each process receives a number.The process holding smallest number entera its critical section.If there exists a tie between two processes i.e. process i and j holds the same number and i< (number[i],i))); } Critical section number[i]=0; Remainder section } while(1); Peterson’s algorithm is also extended to be used as a solution to N-process critical section problem Other solutions related to critical section problem Dekker's Algorithm(For solving mutual exclusion problem) Hyman Mutual Exclusion "Solution" Eisenburg and McGuire algorithm Szymanskis’s algorithm
In looking at the utilization of the three machines it became apparent that Machine #1 was a bottleneck as it operated at or close to 100% utilization (Exhibit 1) with a maximum capacity of 5 kits per day. Furthermore, in analyzing the data we noted that there was spare capacity on Machines 2 & 3 so we prioritized any work from Machine #1 as the two other machines were not the constraint initially. We concluded from this that we would initially purchase an additional Machine #1 while maintaining the same number of the other two machines. We also decided that the priority should be shifted from FIFO to step 2. With both Machines 2 & 3 able to handle surges in demand, the prioritization on the constraint, Machine #1, was
One set up operator can get hold of one place at a time and during waiting time, other lose the considerable amount of production. Subsequently, they framed a goal inclined to set up the sequence of work to get the maximum output by utilizing the capacity of the plant. The third step takes into consideration the installation of planning boards. These boards, lists the standard methods for each procedure, work sequence to reflect the order in which the process runs, and standard cycle time to complete a process. Moreover, these boards not only provides the information about the workers in the process but also identify the areas of improvements of the process. Moreover, works as the chief statistics for workers since it helps them to have a better and clear understanding of the process for a flawless vision of the further scope of improvements. On the contrary in another part of the same plant, they found a number of machines seeking attention at the same time. Automation is not always automatic. It requires humanized automation (Jidoka). The machines read the signal of attention by Andon light and need an operator to check the workflow consisting of a warning by each machine. Irrespective of the machine operating
Let’s assume we have a pallet in manual check and we want to break it down to 80 totes. If this pallet has any problem such as not on shipment, no PO, no barcode then we will create 80 problems from just one problem and then problem become bigger when we inject 80 problems to the line 16 because everybody in 20 stations will pick one of the totes and turn on his blue and waiting for problem solver to fix the problem. This kind of problems definitely will slow down all associate at the line and they will put more pressure to problem solver and water spider while we need to stop creating problem from the manual check.
3) In the Drop_NoFast scenario, obtain the overlaid graph that compares Sent Segment Sequence Number with Received Segment ACK Number for Server_West. Explain the graph.
The complexity of demands by the consumers today has resulted to standardization processes and implementation of strict regulations in food manufacturing plants. Every food companies strive for excellence so more people will use their product over their competitor’s. Because of this, systems have been developed by different organizations and by the companies itself to ensure that every product released in the market meets the expectation of the consumers. An example of this system is the Hazard Analysis Critical Control Point or HACCP.
Generates a population of points for each iteration, leading to multiple options for solution out of which the best is to be selected.
Step 4. This newly computed number can then be used for all calculations that require the number of completed product to used, for example in our above example with 6000
Cormen T. H, Leiserson C. E., Rivest R. L. and Stein C. [1990] (2001). “Introduction to Algorithms”, 2nd edition, MIT Press and McGraw-Hill, ISBN 0-262-03293-7, pp. 27–37. Section 2.3: Designing algorithms..
there is no consistent partial solution. it revises the variables by using hill-climbing (Makoto and Katsutoshi, 1996) search untill it reaches the ideal solution. The min-conflicts heuristic (Minton, et al., 1992) is a local search for solving CSPs. This heuristic chooses randomly variable in the scope of the restriction violated, and assigns it to a value in its domain that reduces the number of restrictions violated. If there is more than one value, it randomly selects among them. but the main weak point of the min-conflicts heuristic is that the possibility of being caught in a local, non solution minimum, which leads to restart the algorithm from a new initial
...tion of the process model. we can also add the integrator to the process model. Moreover , we can give all the poles as real and under-damped (complex pole) from the above case the process model is best fit in third order model P3U in figure 2.8.
Key Resources of this industry include the automation equipment such as the point of sales system that manages the ordering system from customer to kitchen (Chua, 2015). Self-ordering kiosk are made available to some outlets to reduce queuing and waiting time.
Fortunately, during under-graduation, I got an opportunity to detect the optimum path of a process through my project “Design and Development of PCB Dual Head Drilling Machine”. Additionally, I became aware of a new subject called Six Sigma which aided me in intertwining new optimization techniques into my project to make the process effective. I optimized the creation...
In manufacturing process there are different steps and jobs needs to be done in specific ways and time such as sourcing the parts we need in the production, make the items, and shipping it for the customers.
The core operation of the baking sector is to hold financial assets for its various clients with the firm assurance that the assets can be withdrawn at any time when the need arises but the operation of the banking sector has gone way beyond just holding
Finally, the problems faced by Secret Recipe while delivering services is less number of employees. There are only three employees that worked in the shop at Changloon. This means that each employee may have at most two roles while on duty. For examples, employee A need to be both server and cashier at the same time and this would cause the employee A could not take care her job nicely when at the peak time. This had caused decrease of customer’s satisfaction because of the inefficiency of the employee as customers need to wait to be served and wait for paying