Single Stage Periodic Review Inventory Policy
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;; Single stage model, EOQ model globals [ unit-price unit-holding-cost unit-backorder-penalty ;; These are the given cost parameters demand-today ] turtles-own [ bs on-hand-stock back-order inventory-position ;; The storage unit follows the (r,Q) policy alpha-service-level beta-service-level pipeline variable-order-cost ;; no fixed-order cost inventory-holding-cost back-order-penalty total-cost num-filled num-missed quantity-filled quantity-missed checklist ] to setup ca set unit-price 1 set unit-holding-cost 0.05 set unit-backorder-penalty 2 set-default-shape turtles "circle" crt 1 [ set color red ] ask turtles [ set on-hand-stock initial-inventory set back-order 0 set inventory-position (on-hand-stock - back-order) set total-cost 0 set bs base-stock-level set pipeline n-values lead-time [0] set checklist n-values (review-period - 1) [0] set checklist lput 1 checklist set variable-order-cost 0 resize-shape ] reset-ticks end to go if ticks >= 1000 [stop] update-policy set demand-today daily-demand ;; demand for every day is different ask turtles [ receive sell replenish calculate-service-level resize-shape ] update-plot tick end to update-policy ask turtles [ set bs base-stock-level ;; inventory policy can be adjusted on the fly ] end to-report should-order? report inventory-position <= bs and first checklist = 1 ;; If the inventory position is below reorder point r, we should place an order end to receive let amount-received first pipeline ;; amount-received equals to the first item in "pipeline" list ifelse back-order > 0 [ ifelse back-order >= amount-received ;; after receiving the order, update on-hand stock and back-orders [ set back-order (back-order - amount-received) ] [ set back-order 0 set on-hand-stock (amount-received - back-order) ] ] [ set on-hand-stock (on-hand-stock + amount-received) ] end to sell ifelse on-hand-stock >= demand-today [ set on-hand-stock (on-hand-stock - demand-today) set num-filled num-filled + 1 set quantity-filled (quantity-filled + demand-today) ;; according to today's demand, update the on-hand stock and back-orders ] [ set num-missed num-missed + 1 ;; if a demand is not fully met, num-missed + 1 ifelse on-hand-stock > 0 ;; filled demand goes to quantity-filled, unfilled demand goes to quantity-missed [ set quantity-filled (quantity-filled + on-hand-stock) set quantity-missed (quantity-missed + demand-today - on-hand-stock) set on-hand-stock 0 set back-order (demand-today - on-hand-stock) ] [ set quantity-missed (quantity-missed + demand-today) set back-order (back-order + demand-today) ] ] end to replenish ifelse should-order? [ set pipeline lput amount-to-order pipeline set variable-order-cost variable-order-cost + unit-price * amount-to-order ] [ set pipeline lput 0 pipeline ;; if place an order, put the order quantity q into pipeline list ] set pipeline but-first pipeline set inventory-position sum pipeline + on-hand-stock - back-order ;; note that inventory position = on-hand stock - back-orders + inventory in-transit rotate-checklist set inventory-holding-cost inventory-holding-cost + on-hand-stock * unit-holding-cost set back-order-penalty back-order-penalty + back-order * unit-backorder-penalty set total-cost (variable-order-cost + inventory-holding-cost + back-order-penalty) end to update-plot set-current-plot-pen "on-hand" plot sum [on-hand-stock] of turtles ;; draw inventory profile on the plot set-current-plot-pen "back-ordered" plot sum [back-order] of turtles set-current-plot-pen "inv-position" plot sum [inventory-position] of turtles end to calculate-service-level set alpha-service-level num-filled / (num-filled + num-missed) ;; alpha-service level is based on times filled set beta-service-level quantity-filled / (quantity-filled + quantity-missed) ;; beta-service level is based on quantity filled end to resize-shape set size 0.5 * (sqrt on-hand-stock) ;; visualize the on-hand stock via size of the turtle end to-report truncated-normal [mean-value std-value min-value max-value] let random-num random-normal mean-value std-value ifelse random-num > max-value or random-num < min-value [report min-value + random-float (max-value - min-value)] [report random-num] end to-report daily-demand if distribution = "deterministic" [report deterministic-demand] ;; deterministic demand if distribution = "poisson" [report random-poisson mean-for-poisson] ;; Here we assume that the daily demand follows the Poisson distribution if distribution = "normal" [report truncated-normal mean-for-normal std-for-normal lower-bound-for-normal upper-bound-for-normal] ;; truncated normal end to-report amount-to-order report max list (bs - inventory-position) 0 end to rotate-checklist let check-today first checklist set checklist but-first checklist set checklist lput check-today checklist end
There is only one version of this model, created over 11 years ago by Dajun Yue.
Attached files
File | Type | Description | Last updated | |
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Single Stage Periodic Review Inventory Policy.png | preview | Preview for 'Single Stage Periodic Review Inventory Policy' | over 11 years ago, by Dajun Yue | Download |
Yue_Dajun_Final_Report.docx | word | Final report for EECS 372/472 | over 11 years ago, by Dajun Yue | Download |
Yue_Dajun_Jun4.docx | word | description of general network model | over 11 years ago, by Dajun Yue | Download |
Yue_Dajun_May21.docx | word | Revised proposal with progress report | over 11 years ago, by Dajun Yue | Download |
Yue_Dajun_May27.docx | word | sequential chain | over 11 years ago, by Dajun Yue | Download |
Yue_Dajun_Poster.pdf | Poster for the final project | over 11 years ago, by Dajun Yue | Download |
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