General Purpose Simulation System (GPSS) is a simulation language used for discrete-event simulations. It is especially useful in the modelling of queuing systems, with many statistics being collected automatically. The typical simulation consists of Transactions being generated in the system (usually at a certain interval), performing a defined set of rules (like use a resource, wait, transfer), and being removed from the simulation.

History

GPSS was developed in the 1960s by Geoffrey Gordon, an employee of IBM's Advanced Systems Development Division (ASDD). This division was heavily involved with research into the design of teleprocessing systems, trying to achieve an economic balance of the use of computer resources and shared lines between server terminals. The simulation system, then known as the Gordon Simulator, became very popular in the study of teleprocessing systems within ASDD. It subsequently was fixed and documented on October 25, 1960 in an internal IBM memorandum. Between the winter and summer of 1961, a group of three programmers (including Gordon) rewrote the simulation system with a new algorithm and new block types. It was officially released as a supported IBM-label program on September 27, 1961 with 25 block types. At this point, Gordon stopped working on the simulation system. In 1963, GPSS II was released with 32 block types. It introduced system numerical attributes, which allowed tracking the current content of a Storage, the length of a Queue, or the current clock time. In 1965, GPSS III was released. It was made available for IBM Systems 7090/94 and 7040/44. In 1967, GPSS/360 was released to run on the newly released System 360. In 1970, GPSS V was released with 49 block types. In the 1980s, GPSS/VAC and GPSS/PC were released. These appear to be the last official IBM-label releases before the language became unlicensed. Subsequently, there were releases for IBM 360, Univac 1108, and CDC. Over time, other implementations were developed for systems including DEC's VAX, a specialized APL version for large-scale Univac systems, and Macintosh. In 2001, the Windows program GPSS World was released with new features to GPSS. It includes scripting with PLUS (a Pascal-like language), graphical system state displays, graphing, and optimization experiments. In 2009, a graphical Java-based tool called JGPSS (Java General Purpose Simulation System) was developed to teach the GPSS simulation language.

Description

A GPSS simulation is written in an Assembly-style "block diagram language" with many different single-purpose commands ("Blocks") to control the flow of a Transaction, statistics collection, and variables. Simulations have Transaction entry points through the command, such as a customer walking into a store. Then, actions are performed through claiming Facilities/Storage (like a cashier), waiting, saving statistics, etc. Finally, the simulated transaction exits the simulation through the command. Each command verb is referred to as a "control". Blocks can be facility-oriented (such as machines in a job shop) or transaction-oriented (such parts of work-in-process, signals in electronic components or documents in a bureaucratic procedure). GPSS automatically keep track of statistics for display on a report. Entities can be broadly classified in Resources, Computational entities and Statistical entities. Resources, like Facilities and Storages represent limited capacity resources. Computational entities, like Ampervariables (variables), Functions and random generators are used to represent the state of Transactions or elements of their environment. Statistical entities, like Queues or Tables (histograms) collect statistical information of interest.

Basic Transaction commands

Transactions can : Along with these main tasks, they can also hold parameters with the ASSIGN command. Transactions are implicitly sectioned off in the code. There can be multiple transactions in the code that happen at once. A transaction starts with GENERATE and ends with TERMINATE. The code inbetween could potentially be shared between multiple transactions by means of the TRANSFER command, but besides that your transaction lifecycles will be separated. It helps to add whitespace between lines of action of one transaction versus another.

GENERATE

GENERATE 0.1 Transaction generated every 0.1 time unit. GENERATE 15,4 Transaction is generation every 15 time units, plus or minus 4 time units. GENERATE

ADVANCE

To have a transaction wait, use the ADVANCE command. It has similar arguments to GENERATE. ADVANCE 10,6 Transaction waits 10+-6 seconds. ADVANCE

SEIZE, RELEASE (Facilities)

To use a Facility, which only allows one use at a time, use the SEIZE command. To stop using it, use the RELEASE command. GENERATE 30,5 ; Generate a customer every 30+-5 time units SEIZE Barber ; Use a facility ADVANCE 15,4 ; Wait 15+-4 time units RELEASE Barber ; Stop using the facility TERMINATE 1 ; Leave the barber shop If you want more than one use at a time, use Storage. SEIZE RELEASE

ENTER, LEAVE (Storages)

Seating STORAGE 100 ; 100 people allowed in lounge seating GENERATE 10,5 ; Generate a person every 10+-5 time units ENTER Seating,1 ; Person sits down ADVANCE 15,4 ; Wait 15+-4 time units LEAVE Barber,1 ; Person stops sitting TERMINATE 1 ; Exit the seating area This way, multiple people can sit in the Seating at once. If this was a Facility (using SEIZE/RELEASE), it would block others who tried to use the resource. The ENTER command takes the storage reference as Argument A and the amount to reserve with Argument B. The LEAVE command's arguments are the same. ENTER LEAVE

TERMINATE

To remove the transaction, use TERMINATE. The optional argument decrements the completion counter, which is a variable that is chosen by the user when running the simulation. Say you wanted to test 100 customers: you would start the execution of your simulation with. at the end of each transaction would decrement initial value 100 by 1 (99, 98, 97 ...) until it reached zero. At this point, the simulation stops and results are returned. If you omit the argument in TERMINATE, it will be assumed to be 0. This means your simulation will run forever (unless, of course, you have another TERMINATE that does decrement this counter. TERMINATE

Timer

To have your program run for a predetermined time, make sure none of your TERMINATES decrement the counter and include a section like this: GENERATE ; Generate one transaction ADVANCE 100 ; Run for 100 time units TERMINATE 1 ; End Then run your program with START 1. It will run for 100 time units.

ASSIGN (Parameter "Metadata")

Use the ASSIGN control block to assign a value to a transaction parameter. Called with Pj (j=parameter number) ASSIGN 2,V$Orderqty ;Parameter 2=Order quantity Custwait ADVANCE 5 ;Lead time is 5 days ENTER Stock,P2 ;Stock increases by P2 ASSIGN : ASSIGN Blocks are used to place or modify a value in a Transaction Parameter.

Examples

Barber Shop

The following example, taken from Simulation using GPSS, is the "Hello world!" of GPSS and will illustrate the main concepts. The aim is to simulate one day of operation of a barber shop. Customers arrive in a random constant flow, enter the shop, queue if the barber is busy, get their hair cut on a first-come first-served basis, and then leave the shop. We wish to know the average and maximum waiting line, as well as the number of customers.

<pre style="font-size:80%;"> SIMULATE ; Define model * * Model segment 1 * GENERATE 18,6 ; Customer arrive every 18±6 mn QUEUE Chairs ; Enter the line SEIZE Joe ; Capture the barber DEPART Chairs ; Leave the line ADVANCE 16,4 ; Get a hair cut in 16±4 mn RELEASE Joe ; Free the barber TERMINATE ; Leave the shop * * Model segment 2 * GENERATE 480 ; Timer arrives at time = 480 mn TERMINATE 1 ; Shut off the run * * Control cards * START 1 ; Start one run END ; End model The "program" is comprised between the and statements, and is divided into "model segments" and "control cards". The first segment models customers. The block creates a flow of Transactions and schedules them to enter the model with an inter-arrival time uniformly distributed over the range 18±6. It is the programmer's responsibility to interpret these transaction as customers and to understand that the time is to be counted in minutes. The Transactions start their existence in the block and progress from Block to Block, according to certain rules, until they reach a which remove them from the model. Normally transactions progress from one block to the next one, so the customer transactions will leave the block to enter the block. This block simulates a waiting line, and collects statistics accordingly. In the example, it materialize a line of chairs and, at the end of the simulation, we will know, among other things, the maximum queue size (how many chairs are needed) and the average waiting time. The block requires the name of the queue as a parameter, because more than one queue may exist in the model. Each one is associated with a block, which is triggered when the transaction leaves the queue. GPSS remembers which transactions are in the queue, so that it possible to know the average time spent, and to check that no buggy transaction is leaving a queue without previously entering in it. After the block, the transaction will try to proceed to the block, a block simulating the capture of the Facility named Joe. Facilities model single servers of capacity one. If the facility is busy, the will deny the attempting transaction the right to enter. In the example, the customer will wait in the block. If it is free, or as soon as it becomes available, the transaction will be allowed to capture the facility, mark it as busy to others transactions and start to count the service time and other statistics, until the same transaction passes the corresponding block. The / pairs are linked by the facility name, because many independent facilities may exist in the model. They can model operators, like a barber, a repairman, an agent, but also pieces of equipment, like a crane, a gas station, an authorization document, etc., in fact anything with capacity one. To simulate multiple parallel servers, like a team of five barbers, or an oven with a capacity of 10, GPSS uses entities named s. After a customer seizes Joe, she proceeds to the next statement which is, whose task is to freeze the entity for a prescribed length of time, here a random number picked between 16-4=12 and 16+4=20mn. Other service time distributions are available through GPSS (a somehow different notion than function in other programming languages). During that time, other transactions will be allowed to move through the model, blocking some other facilities that may exist in the model, but not Joe because this facility is busy with the frozen customer. After the prescribed time, the customer will wake up, proceed to the next statement, which will free Joe, and. Then the next transaction on the previous block, that is a customer sitting on a chair, will be able to. To select the "next" transaction, GPSS uses the first-come first-served basis, with priority. Other selection policies can be programmed by direct manipulation of the future event chain entity. In parallel to this first segment, simulating the customer behavior, a second model segment simulates the end of the day. At time 480mn = 8h an entity is d, which will on the next block. This time, the as a parameter of 1, meaning a special counter is decreased by 1. When that counter reaches 0, the program stops and the output is printed. This special counter is set up with the statement. In the example, it is set to one, thus the simulation will finish after one run of 480 mn in simulated time. The output contains: <pre style="font-size:80%;"> FACILITY AVERAGE NUMBER AVERAGE SEIZING PREEMPTING UTILIZATION ENTRIES TIME/TRAN TRANS. NO. TRANS. NO. Joe .860 26 15.884 26 QUEUE MAXIMUM AVERAGE TOTAL ZERO PERCENT AVERAGE $AVERAGE TABLE CURRENT CONTENTS CONTENT ENTRIES ENTRIES ZEROS TIME/TRANS TIME/TRANS NUMBER CONTENTS Chairs 1 .160 27 12 44.4 2.851 5.133 1 $AVERAGE TIME/TRANS = AVERAGE TIME/TRANS EXCLUDING ZERO ENTITIES It indicates that Joe was busy 86.0% of the time, gave a hair cut to 26 customers and that hair cut took 15.88 minutes on the average. Incidentally, Joe was cutting the hair of customer number 26 when the simulation was closed. No programming provisions were taken for the barber to finish the hair cut before closing the shop. It indicates also that a maximum of 1 customer was observed waiting his turn, in fact the number of waiting customer was on the average 0.160. A total of 27 customers did enter the queue, so that customer number 27 was still sitting, waiting his turn, when Joe closed the shop. Out of these 27 customers, 12 were served without having to wait. In fact, the queue was empty 44.4% of the time. The average waiting time was 2.851 min, and the average waiting time for the 15=27-12 customers who did really wait was 5.133 min. ## Haircuts * Pg 108 Q 18 * A one-chair unisex hair shop has arrivals at the rate of one every 20+-15 minutes. * One-half of the arriving customers want a dry cuts, 30% want a style, and 20% * want a trim only. A dry cut takes 15+-5 minutes, a style cut takes 25+-10 minutes, * and a trim takes 10+-3 minutes. Simulate 50 customers coming through the hair * shop. Compare the given proportion of service rqequests of each type with the * simulated outcome. Are the results reasonable? Base your answer on the binomial * distribution. Arrivals FUNCTION RN1,D4 ; 1=dry cut, 2=style, 3=trim 0.0,0/0.5,1/0.8,2/1.0,3 GENERATE 20,15 ; Generate arrivals ASSIGN 1,FN$Arrivals ; Assign arrival type to P1 Test1 TEST E P1,1,Test2 ; If P1=1, transfer to DryCut. Else Test2 TRANSFER ,DryCut Test2 TEST E P1,2,TrimHair ; If P1=2, transfer to StyCut. Else Trim. TRANSFER ,StyCut DryCut SEIZE Chair ADVANCE 15,5 SAVEVALUE WantedDryCut+,1 TRANSFER ,Term StyCut SEIZE Chair ADVANCE 25,10 SAVEVALUE WantedStyleCut+,1 TRANSFER ,Term TrimHair SEIZE Chair ADVANCE 10,3 SAVEVALUE WantedTrimHair+,1 Term RELEASE Chair TERMINATE 1 ## Superhighway * Pg 108 Q 14 * A superhighway connects one large metropolitan area to another. A vehicle leaves * the first city every 20+-15 seconds. Twenty percent of the vehicles have 1 pass- * enger, 30% of the vehicles have 2 passengers, 10% have 3 passengers, and 10% * have 4 passengers. The remaining 30% of ehicles are buses which carry 40 * people. It takes 60+-10 minutes for a vehicle to travel between the two metro- * politan areas. How long does it take for 5000 people to arrive in the second city? Passenger FUNCTION RN1,D6 0.0,0/0.2,1/0.5,2/0.6,3/0.7,4/1.0,40 GENERATE 20,15 ; New vehicle enters superhighway (seconds) ASSIGN 1,FN$Passenger ; Assign number of passengers to P1 ADVANCE (60#60),(10#60) ; Travel (minutes to seconds) TERMINATE P1 ; Decrease the count by number of passengers * End time is in seconds. Must be divided by 60. * RESULT: 10958 seconds => 182.645 minutes = 3 hr 2 min # Data Prefixes Source: ## Transactions ## Chains ## Blocks ## System Attributes ### Quantities ## Equipment Attributes ### Storages ### Facilities ### Groups ## Statistical Attributes ### Queues ### Tables ### Savevalues ### Computational Attributes ## Range of the Standard Numerical Attributes ## Conditional Operators This is used in **TEST** command.