Course Solutions Uncategorized (Answered) : Plan production for a four-month period: February through May. For February and March, you should produce to exact demand foreca

(Answered) : Plan production for a four-month period: February through May. For February and March, you should produce to exact demand foreca

Plan production for a four-month period: February through May. For February and March, you should produce to exact demand forecast. For April and May, you should use overtime and inventory with a stable workforce; stable means that the number of workers needed for March will be held constant through May. However, government constraints put a maximum of 5,000 hours of overtime labor per month in April and May (zero overtime in February and March). If demand exceeds supply, then backorders occur. There are 90 workers on January 31. You are given the following demand forecast: February, 80,960; March, 66,240; April,

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<h3>Question Description</h3> <p><img 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KDJoMiUt+9x/8a6JuAUnuOU9Kd6/HPsTspwIiv7gmhBKS+ThbRsi7sfbz4jPal+b7e2LiQlPZHgR1aKvfacIufrSsq2dEEm88GKvOzLJmQ46ddZpJxevUhQziYUsiJj+r7pEQmuQChS9rJM9Qdl967FUEr6ta7sMRPZ0dhrUbcOm1WakCGnDLNeg8mOaiBIb4c8JWlvk7RXDnPJNMg0WJTcrC1vOiuDbtDIP1lv3bSEzQ0AOhgBnRXWSt6c+Uqnt8hpp73SHAcAAGDRhJ147VzbTrXXfc5PFiQ9FgQIvHVjaSlM5isd64bSMhb0tjf0SsJ/FgZNwnXdIzIWCXIE8t7/NCDkdfbTU36wIeEHlypBo2qTMmSDOTaW4/GDJrkdwYKk7NBggonidEtyOHiuRZuUQnqbt0Wt/L6sd0rBOr8uvDd6ew/UOd8qyW1OHeb3STYxLH48R8uph7BHN/Wih2gyalKn3Cpadg3AlW2wy73ensMzUrBPo6rK5u1p3LsOlTpugnc+0+XxsAyHZ+KPpMx1COvFO9oO79oXJqXSROoE3QCgQxHQWUFLkTennptvvlBuv/2bcv/9s3YJAABAvO7ufpHCjBy2r+N0j0yLPxgkGAETjJY5LNrn1mkw4eiYQa9XP8f+5mSCBlkZDPbpPfzdVu81KSMaICmVpGiXSH+3DS7VUfAKnAhGfljm/QXn/LqkR+eHFUtmm+7ksCRsYEaDDJWghcvb1itEoneDfb0AyW2StsGJkrfTxHDSPydTzoQsxiGiGpc9MqVuVEsQY1HKFp1mN1qsF/KywZ65rjUArCIEdFZQq3lzXI1uWx5n/fqXmaDOZZfdJc8997xdCgAA0LzqDrMGdfypNDq9pSCpIQ2IbJBer8+t02CCdf6jMspiXszolXQ49SZ81BvucXhGTCSh7ugRRyIne6b3mOlQQ8G8oe5u6feOGEzfCR/B1KRw2pWOQqk38sOrKxMbW1AoywqmXeUlPynhdCu/nAVZlENENCh7aUJGdfRSUDd7hu2KKotQttLEqGTtCCs9Vr1DqQ3a8GzADQDWAgI6K2Q+eXNcc922PI7exnx4eLNs336HXQIAABBDR4PoaBg32YnpxFemz7jJdZXpTJtgj52O5Ix2MdvWSbrbNBtAGQ0TtfgjN+rlxTHThQKmk1+SiYlG05C6ZWSPDjkKctj4AZTU7uA9NrlveM72PAcHJZvolXqDUHSqVGWKlbcPvxLnFdwy065Sg5Iq9GusxNJyOlOsItfJBmXC6W7+FKhmRcuuu3YTGVcCNfndqTpBs6qy2TrUa+aPAqtMh4pcr2rh6K687NZRUnWYUVPuPrVczhQsAFh1ylh23/jG98vr1/+P8mOPfc8uWT7//u+/LG/ZMlH+1Ke+ZpcAAIC1qPj4rH1Wz1TZ64uX9c/F4JGesquM2XIu4a5Pe++omErXX+eazSX8bXTnU+notrO5ckIS5VxY1KoyRQsU8o8dvC94j7ufCnP8RM47G595b/i66hyd7QxTPikn4nbsCM+xeh9znm81ey415x0tZ6Q8toz+unQ5p2Wx7zfnWqcOA5GyO2V1r296yi+Xvyv3uaqqw3BFdHk6p+W0+4/Ui3vNvWVVdRaUIzxns97Z3l9atU+fvneuawcA7axL/8/7wsMy0bw555xzk3zoQ/3zmmoV0NuWtzrtKvDMM8elvz8n9933Punre61dCgAA1pIDT5Sk7yyGLiyMjhIald7Z5bprko5w6ZGZsRYTCwMAViWmXC2zheTNcTV72/I4Gzeuk+uuO98kZNYAEwAAAOYhcrepZdDo9ugAgDWHgM4yWmjenMX0nvecKeeeu1E++MF77BIAAAA0y+QFGixKbk9we/alZfLX9KSkf2qByaUBAKsGAZ1l8uSTP5Arr3xQbrvtEjnppJfapStrfHyrHDjwXfnc556wSwAAANCM5LjedWm5plpJeEcxploBAAIEdJaBTmvS6U1jY0nZvPlUu3Rh5ps/x6WBpVtvfaeZBjY7e8wuBQAAAAAA7Y6AzjLQkTlnnLF+wXlzXPO5bXkcDTDt3PlmE3B68cVf2aUAAAAAAKCdEdBZYl/4wpNy//2zbZE3p550eousX/8yueqqr9glAAAAAACgnRHQWUI6jUmTDmvenHXrTrRLF4fetnwx7d17scmlo8EnAAAAAADQ3gjoLJEXXnhRLrnkNjOdqa/vtXbp4lnIbcvj6AgdDepcdtld8txzz9ulAAAAAACgHRHQWSKZzAOyceM6M52pU5x33iYZHt5sgjoAAAAAAKB9EdBZAkHenJtvXvidqJab3onryJGfybXX/r1dAgAAAAAA2g0BnUW2lHlzXItx2/I4J5zwElP2T37ya3LgwHftUgAAAAAA0E66yh77HAukeXPOOecmGRr6g46aahVHRxmNjublsccul5NOeqldCgAAVosDT5TsMwAA0IkI6CwiHZmjCYXvuOPddklnC3LpdOLUMQAA0JgGdPrO6ravAABAp2HK1SJZ7rw5i33b8jjXXXe+TE8fNucGAAAAAADaBwGdRbBceXNci33b8jg61UrPSc/tmWeO26UAAAAAAGClEdBZIM2bc8klt8nOnW+Wvr7X2qWrx+bNp5pz03N88cVf2aUAAAAAAGAlEdBZoEzmAdm4cV3HJ0FuRM9t/fqXmSTJAAAAAABg5RHQWYDlzpvjWqrbltezd+/FMjl5UB566Gm7BAAAAAAArBQCOvO0EnlzXJs3b7bPloeO0NGgzvbtd8iRIz+zSwEAAAAAwEogoDMPqz1vTj3nnbdJhoc3m6AOAAAAAABYOQR05qEd8uYsx23L44yNJc0InWx2v10CAACAzlaSiYEu6eryHxnSJgJAR+gqe+xzNOH2278pV175oDz22OUrMtUqsGvXLtm5c6d9tbx0ull/f07y+SFzFywAANB5DjxRkr6zuu0rLLW+yx+1z+bvwI1vtM8WV2liQHpmxqQ8nhTJZ6RrUGSqPC7eKwBAGyOg04JnnjluAhl33PFuGRjYYJeujJUM6KjPfe4JrwxfNYGtk056qV0KAAA6BQGd5aUBnYUEZBb6/qZpQGe0V2anR4TWAQDtjSlXTXrxxV+ZvDkf/eg5Kx7MaQfvf/9ZsmXLaWb6GQAAADqdnXY1mJX0GMEcAOgEBHSapNOs9E5Pn/jEgF2yspb7tuVxrr/+bfLww8+Y27cDAACgk3XLyHRZyuUpkUHy6ABAJyCg04Q77zxkcufobbvbxXLftjyOTrW69dZ3yoc/fJ+ZjgYAAIBOt0F6EyLFUsm+BgC0KwI6c9BARSr1ZRO40BE6iNLbtn/84wm59NIvmWlpAACgw5UmZMDe7aj2MSATXj8/n/Ger9gQjrxkvLKs2OFN/fj1sFpoUuSB8IQOy0whIcNJJl0BQLsjoNNAO+fNWanblsf52Mf+yNzxa3SUsbkAAHS87hGZLuvUG+8xm5OE97/crH1dnpYR+vmrTvfIHhme7LFBO73FFdcZADoBAZ0G2i1vjuvgwYP2WXu4+eYLzZ2vHnroabsEAABgFTIBr9UW8Ajy5/gPvXs5AKD9EdCpox3z5rSzU089SXK5d8hll90lR478zC4FAACrl70rkjMVK6S3vg6naWUkdgxvzNSl6FQuf2pVsJ/4KVbV06/8MvnTh4LnE5X9DExIyZ1Spq/9N3rc8wn2EaOq3KbMsftbPjplqqYMQTknKtdCz8ndtu45AgA6AgGdGOTNmZ+3vrVH3vOeM01QBwAArHLZSZE9/oiOqXRBUkNOIGGwGE7Tms0VZTAu0NGdlOFEQSbzwZq87MuKpLfp8BANrgxKMTfrjxqZSkt2cH55awqpGdlmRp5MSbqQkp4hLbb3WqeTea9322BQPtMjqf4p/3jetv2pnrnz9OQzMljMyax5j1cP/SkZWu4giVeGnlS/TDll6AkL7l2XmW3+OXl1WPDOaUj2mNezuYT3end8sA0A0BEI6FRp57w5rna4bXmcT33qT+W5556XbHa/XQIAAFal9Fg47WiD3hbJKuUnpeCs6x4Zk3RhUsK4TahbksMJKUzmbSCoJMVETnaYeE5eJt3EvMkdkosEf5qXyO0QfwaRf/emxHDSO7Knu1v6zXKlwaSE5MzBVVJ25BKS3ddEuMMJCiXHyzK9zHOx8n4UzJ6jX4ZyOGfKOacNvSYfUlCn3d2VswcAdCYCOlXaOW+Oqx1uWx7nhBNeYkY2ffKTX5ODB5+zSwEAwFpxeKYgkh0Mp/Vokt2sFGTmsN3A4QZ7NBAkQbDl8Iz3jn6NuSwPDSbpaJaeoMxd0pPyzqNYqh1Z5EqO29FDlffNOapnUXnlK4oketv3R0gAwNIhoOMgb87i6Ok5WcbHt5pbmT///C/sUgAAsBaY0TrpYOpS5RGfaDcp29I68iYvfjzHRnDMaJKixlmWhxmt497Nyz6mR/wAUyMa1LHb6zSm7GCdnEFLolt0oE0hLloGAFj1COhYnZY3p51uWx7n/e8/S/r6XiuZzAN2CQAAWAu6k8OSyI5W8t2YBMn1898kt2lul0FJ9VemadXk18nvlpQ7BSvkT6MKp0aZqVr+09b4gaVUMHfK5PDpchI0xzMJhp38QGYaU6LXK9Xy0frzKiAMIlWXCQCwehHQ8XRK3hxXu922PM71179NHn74GTPqCQAArBF6W++p/sr0pcGspKca3OY7uU3S3j9+MuSA3kbbT0zceB/edmMa0LBTvIZEhnVn85Acn5VcMZgq1iMpycnsHPfv7h6Z9pMQm/doOYuS29PEqJ7FlBz3E0/bMpgEyc2MLAIAdLyuso4PXeN0FMmhQ0fkvvveZ5e0v127dsnOnTvtq/Z14MB35fzzb5FiMSUbN66zSwEAwEo78ERJ+s6i279c+i5/VA7c+Eb7qnULfT8AYPVZ8yN0yJuztHTa1cc/npDt2+8wI6EAAAAAAMDCremATqflzXG1623L43zsY38kJ554guza9VW7BAAAAAAALMSaDejoaBEdNfKRj7ypY/LmuNr1tuX16AioiYl/MDl1AAAAAADAwqzZHDpXXfUVk99F8+accAK5oZfD/ffPmhFRjz12eceNiAIAYLUhh87y0hw4C0UOHQCAa00GdDSwcNlld5nAwqmnnmSXdha9bXknTbsKaAJqnep2xx3vtksAAMBKIKADAEBnW3NDU5599scmmKNTgDo1mKM64bblca655i0moLN79/+1SwAAAAAAQKvWVEBH8+ZceumX5Ior3ijnnbfJLsVy0ultt912iUmQfPDgc3YpAAAAAABoxZoK6IyO5s3dlq6++k/sEqyEnp6TzUgdTUr9/PO/sEsBAAAAAECz1kxAR/PmTE4eNFOtVkMS5E7Mn+MaHt4sZ555ilx55YN2CQAAaDf5zC7J5O0L2S+Zrl3SFT52y0TJrvLotl2Z/fbV4qjs82mZGNglAxNP+ytK98qALUelfFgK5hpErrvzWOTrvdSWoo2uPlWftfnIf95rH5+XRf1oLsU+F6g0sVu6Bu4V52uwSf536VJ+d82/bKvIcrWZRTxO/e+o+m1mTQR0VkveHFen3bY8Ti73DhNou/POQ3YJAABoG94fqYOyVcaT+kL/mHxAirntUi7v9B+zm2SyJxrUWS753UUppLeacvjlw1JJjtvr7T2m0t4CW+/mMb7F32i1acPgAdaIebe9RQjEdaDVHLhq9txWfUCHvDnt66STXmry6eitzDXoBgAA2oXXORg9JrkdtsNeOiZFeZUMJ52/pbovkLH0UZnM+x0I0/Ffsg7+JhmZ3inTI5XjJ3pPsc+A5ixtG0Uo+V4pl98rxFqBpbfqAzqrNW+O3rZ8Nejre6189KPnmKCbBt8AAEAbKB2SSdkkyeCu5t0nS79UgjcB7SAHQZba6VH3VqZo6a+MzjSpyq+Odhi5t224Lna4eeXXZz3OYFakkNrr7efzkvGWu8PQza+aMfvQ90V+vdZfwp1fP837asoX8yup+wu6OSevDHrueh5xP6ub7e1+vUelDPbcM876muME7wtGQul7nFFR5vjVr4Nf9/06C/bhnrupC++4ps7dY85Do3r128S9TjmqRh5EzrHxqASzr3Dbyjn718dvB8H6elNZ/PL4bcN/7r2vep9ah4NPeU+ekkGnTJHjV7Uvd51/PZ1zcdt9zLVq2HZsGwn3HW7jt4NMxm+zkfoPRd/b8Dq7ZRzYLzN2sa9+O1Kx9eJ+RuzzCefzpecRqTPn3COfw6p18fzyhZ+jSBmC/TjXwy2bMuceXJc5PpORutgtu6MVVf+Yyl2Xibtennm0vUA+s1dSBf97sfqzHrw3Wpf12lYVW19BO9VHtA002k+07bh1ouWq+Q6q91nxROog2N4rW0/qqHfSRelp0L7dNhWWPXLdlb32poBztYOqet1nF3rMsbz3+XUSnG+jOnLXfV7CXdU7t8hn1V++qgM6qy1vjqtTb1se5xOfGDBBt09+8u/sEgAAsJJK+ael0H+yBPEckS0yPnW6H0Sxf0zW7QBYhdRx2Wam5myVtP5ROiSyR1/P9kvCe73beX/W23Ys2Db7QJ0Oqk+DSOHUn+n3yo7hV0l2X9DJeVryk0clva12FEZym1f+yUPhH8b5fU9JYvgM/xzNH88ny5Qpw3bJiVfeOh2nWk9JsdefilY7/cv7Y33wmORmdb/ew9Th/khHL1tcJ7PBuXv1MmTOvfp9J0tqSP943yLbnFFRep0kIZHXhfQmMzLCdPD6g+lRW6Xfu3buNStkxa/z6Quc69y6hvWqskWZGfPPYyrtdVSDzonpvFbOcTZ3rLKumnd9Bov9tp50P0cltdu5PgWvE2yPMZvz2sNgVWe6nuwx6bXHN/vUOu6+QKa96yRyutce/FEm2kmrHN9rH0WnjWrZsrqtv663qB3ygHcde4rSP+Ufw1zHHrdsjdqOdoadaY5embKDbgf0qGSlz6xzR64F8hl3iqTfttzPXIV3nKGiSLDtmFctBbvK06gdNayXiKdkUi4w+/Cvzy7Zt03f43+Ws6OVNjEUfg7ttsG6OYSfIx2BVdW2Iu2uCfGfST3feyUlwfn2eRt6He5Aw/asn+enJG3bwWzvMe/axZiz7dX/fkyOe/XvfRckvOsYtgev7DO2nqOfi6q25X0nFyNtq1qlnfrfYffabRvvx9RX2Ha0fE/JqFP26HdQg89K9ee/316T5HvNeUnCW1f3e6zS9qJln1u9dtD4M+8Jv1f0GjauI/2cZoNprLPrpBg0jDrnlp20/x11yrRqAzqrMW/OaqbX6YYbHpXp6cN2CQAAWCmHZ47WTmky0yj0D0nbCfM6ZdW/oroSuS12ysUp0qsdjaCTb0b7RFW23SI7vD9i3QDBXLqTmySRfdr/w19HFhVOl201nWOPt1264G1ndrxf9mUrU8g0CCE2EGKmd415napgn3OqmooWsUXGyztkxP41Xiod85840mPBH+t+PVU4QQute/tH/YZer35mfmAWH54RGR7zjm1eu8Es//zCKXO2XiuBL094vgvUoF4Nr0Oywx4ouUODef62fvCpL6yb7pE+Zz9VnPPX8ywVzZMK5xjdXvtqmnN8rdd4tl7D6+S3j6CNxradgHeOWadsktxiOrX7wobVoO2YtuysN++NjpKLC1wG3NFz/pTJOmKP4z9t3I78eqkE72qnRVacLmN2uX99Kp/RSL1rQMOZqqXfQ81yg4imbSUqIwzddteM+M9k9fn6dRFo2J61HTjnbNb5T+cQf8ymvx/rfS7s92RwTaqnz9Zytt2wTmPIvjn20z2yw5ni+AOZcQKFhvsdpHXU6LPiBCQjbXtOdcrehHrfzQ0/88ppe43rSD9fzufYrPOf1hNXplUZ0CFvTufRoNvNN19ortvx4y/YpQAAoB2ZXCQmsGNHNdjl89XfXfl7raUOueo+Q4aDP/wPHw9HqNRyRrdoBzf8o9sPECxNTh79ddYOj/ceQ5N28Zw0EOT/Gh+8N5hqUQlgaWfgZO/1ydJvXmuHyXYaTQfeuzY9lWOb4fvFYwu+VrXq1avljvRygnmms+6eX9cDXqf3qMzE/bbnTjPoulearsZF4XdE/QCmfei0mMJxOTxH2zEBPK8j2hOW3Z8WUyzV6zg7tC2LV3duXbbAnWbSNdTgeDXH2STdwUVq2I78enE/uwu3PzI1ZbRYL8jWmGlbkRGGi6H2fN3vqkbt2bSDxDrZYLetDd7WsxR17DHXXKd1VeraTGO1geKmzbWfvDsF7YD33eAvjtPws6IBXTNCLVg39wjRpRPzmW8UKGpUR+bz9SrprTSMBoHl+lZlQGe15s1xdfpty+O89a098q53vcGMrAIAAO3DzwvgjO6w5vPHZxy3gxs3iqWxTZK00670l9OGoxbs9KC8Bh+ckQXagW25M9OM/H6vUxIMzd8p02OtBKs0qOO/z0xT8zqLphNjAlhehzrvdQZM8EoDKt7riaclGwSzTODkVZUpW8Gj7rSEhYmvV8sNIpkOjM+0HfeOWfYRd9cy965m5fIOGase4rWk/M53MF2m8tCRJI3bjunwJypTRYJHU6MLTCfRq7t5ReD2y+7U0UqZp/tqRsWFao7jjIBq2I78emkqONWk0sQBM0ojqK89w3ZFi0zbWvTgZe35ut9VjdqzaQcmABjwAzVzW/w6Nsw1r3wvhY9WE4Y33M/TMjH6lJkC5i+/QBpdzjk/K84I0ej0seUW85k3QZs6GtWR+XxFg9itjEoLrLqAzmrOm+NaDbctj3PNNW+RZ545LjfccMAuAQAAy007J+4frP6okOrcDX6n0Z3qMF+VKQTz22dQvsFs9NfOGt52mndg0DuG+6u3BiQqU6z8jkgwpN7vjNmpEx4z3L4lQWfZ7rcZZkSKM53Ndqz9c9MOxVGZHPWuhf2VeEOveH//HnOCWf6omUqeGTtSqOm8QC2qU6+GW3camLEjePxrdqByjubX/AZ5PIIOulc3o0GeiWVhA4ZOLheTENXmR4ltOwFbL2HuGjvSqKnRBSZwV5m+4gcHG03vqxUEAkygxDyLYY8TthUzRcR/2rgd+fXiTv8x9bLQNhYGPvzvgvkwbatOu/M72JWpPGaqlP90DvZ8wxxY3v4nK+Vr2J61HXjHDPPHeMdsrglX1/EifefaUY2VfDb+yKhGuctiNbGf8L8jpv36T2M1+KyYHxScHEh+8Mcd8TQPNphS+Xw1e02Cz3zlWjf8b0LDOtLPl7er8LvFn4LVqlUV8SBvTufTIJzeylxHWT355BL8UgYAAOZkOifuL9wmt4WfEDUYNq5TCmSqlVwG9aX7j9uh9n6CyJb3af5o9v6tnu5Tw/8D2s3hYSQ1AeUxOyx+r5/4NPi12uYuCaad7Ovt9zqETYq8917RoSVNjbrQ+jZJQf1jar0UcxeE+TnMiJhCJXiiHZxC4eTIOZkkqcVgCkjVOdXQTkaDYMqc6tSrSp8sM/Y8TCLRYJRQ9TmapLGVfEMuPweKnY4x5FWj5i5Z9BEYDtsBH7R1orlANBFrMB0kch5e2zFJd8067xoPu/k0tsi4SYJqz7GnaJIPx41CqqU5aZzPXIP6qWVzrdj3DkmfyYsTP9LDP044va/nuPQ7eTwataOaetHEtXXb2Nz83DJBXT4t2zRBcGRkS5Oq2lZ1u9M8JcH0nSHv/J3Tbcicb3it98pMv3OtG7Znvx1IcC1HvY9FvS+Rhm2v0fdjEHDyjjFnUK2qbc33e7fhfmxumaBd7dtkcq/VHwlZ/7NS3c66NPn0Hv96+sE7XdfqiJ3oZ6Rr3zond9QczH8vvMtpr/Wo971X/62N69p8viQ4twNew6iMem323LrKHvu8o2nenGRyj5x33u/Kzp3n2qWrl962fDVOuwpMTPyDfPazX5diMWWmzwEAgMV14ImS9J1Vr3eov8R7ndM9zXYg50sDCX5gqLlObn06OmC017nDSx36a2/PTF/r0wvQUFy96jUZlK1rq651ZMbougZ33QGAxbNqRujoLa91dMfVqzhvjmuu25aXJgZkYP4/s6y4kZE/lDPPPEUyGe+PPAAAsMz019WTo7eGbmsxd1eK5U+TaJRnB/Oxdus1ml/KTrla9IS8ABBvVQR0HnroaXPL69WeN6d5edndcJJiZ7j++reZnEh33nnILgEAAMtGp5KITcTbzkyuiuiUpFgmJ8NeSfVvXfBoIDjWeL2aaULBtJI5p7YBwOLq+ClXzz33vJx99o3mltd6l6S1YteuXbJz5077KiqfyUiptyiTskeml3ac9JLbv/9ZufjiL5qpV6ed9kq7FAAALFTjKVcAAKDddfRwFs2bs337HTI8vHlNBXNU3fw5pQkpbRv3b1lZh07H6urqMg8/c7j/OpPPS8Ysz0heSjIxUNlmpWzZcpp85CNvMtdZrzcAAAAAAOjwgI7mzXnhhRdlbGztje+Mv215SSZ2iyQbVUc+Iz2TwzJbLkt5Ki3Z0QmRkWmTdTw7uE+2ecun0lkZ1FsI7CnLbC4h2eC+fivkYx/7IzOV7tOfnrZLAAAAAABY2zo2oBPkzbn11neSNyeQz4vsGGmYhK1UKkp6zG6THJfydGX79JQ/smdDb0ISuT1mHnp3d7+/cgXp9dUpdX/zN0WZnm75xoUAAAAAAKw6HRkJ0bw5OgVHO/lrNa+K3rY8qiQToylJ9fjTpHpSBSmkemLvdFUsdd7dr/Q653LvMNf9+PEX7FIAAAAAANamjgvorOW8Oa7a25Z3y8h0WTTHtT50qlQiN1uTFFlH3BRSuyWYRKUJlDVfTqloF7Sxt7/99XLRRWdIKvVluwQAAAAAgLWp4wI6azlvzqJIjstsriiDJvlxl4z27pANE0OidznPDg5IJjMQju7JTEzIwGBWV8SO9FkJn/rUn8rs7DG54YYDdgkAAAAAAGtPR922XPPm6OgcbmHd+Lblq92hQ0ckmdwjDz64Xc488xS7FAAAtILblgMA0Nk6ZoQOeXOi6t62fA0444z1ZoSWtgcdrQUAAAAAwFrTEQEd8ubUir9t+doxMvKHJrBz5ZUP2iUAAAAAAKwdHRHQIW8O4lx//dvk7ru/JXfeecguAQAAAABgbWj7gI7mzbnhhkfl1lvfKSec0HE5nJdM7W3L155160407eKDH7xHnn32x3YpAAAAAACrX1tHSMibU1/tbcvXpi1bTpOPfORNctlld5mpeQAAAAAArAVtG9Ahbw6a9bGP/ZH599pr/978CwAAAADAate2AR3y5qBZOhVPR3F99rNfl/37n7VLAQAAAABYvdoyoDM9fZi8OXNYy7ctj6NT8jRJ8qWXfkmOH3/BLgUAAAAAYHVqu2jJkSM/M51y7ZyTN6e+tX7b8jgXXXSGvP3trzdJkgEAAND+8pku6eqyj4EJKdnlAIC5dZU99nlbOP/8W+SMM9bL+PhWuwRonk7TO+ecm+RDH+qXkZE/tEsBAEC1A0+UpO+sbvsKq1Xf5Y/aZ/N34MY32meLLJ+RrtFemZ0ekW4pycRAj6T6p6Q8TsoFAGhGWwV0Pv3pafnSl/5RHnnkA0y1moPetpxpV/GefPIH8pa37JV8fsgEBwEAQC0COmuDBnQWEpBZ6PtbUZoYkJ6ZMQI6ANCktomaaN6cz3zmEbnttksI5jSB25bXd+aZp8jOnW82U/d0xA4AAADa3+GZgqS3EcwBgGa1ReQkyJuTy71DNm5cZ5cC83fFFX3S03OyXHXVV+wSAAAAtCsdnTPaOysMzgGA5rVFQGf79jvkXe96g0lqCywWDRDeeechufvub9klAABgTqUJGQiS1NY8BmSiZBPZZvL2De1A86/YMrZVuRaTf44DegFWGW1POtVqeoQpgADQihUP6GjeHB2hc801b7FL0Azy58xt3boTZe/eiyWV+rI8++yP7VIAANBQ94hMl8uiaRbLszlJeP/LzdrX5Wlpyz53frekCmmZ0jIyxKOD+EEqHZnDdQOA1q1oQIe8OfPHbcubMzCwwdzx6rLL7rJLAADAqpTolQ326erULSPT5VU1iqU0MSSpgkgh1VMZBbZqR1gBwOJbsSgKeXOwXD7xiQF58cVfmdFgAABgsTjTnOxUrJDejjrooHdlpG4XvWp6V9iXN8vdfeYlE67X5wOSyQyY9wwMeP8OZjUqID3he/ztwzIMTHilrTBTxoJ1bgAhUp6qc6qiOV/CfXiPaNkzXvmiy+se0xNZV/e4VVOuInXcuKxLJra+gnJOVK6B1r+7rb0e3SPTduSX82CkDgA0bcUCOuTNWRi9bTmao6O/dOrVZz/7dTlw4Lt2KQAAWJDspMgevxM+lS5IasgGTbTjPlgMp2nN5ooyWBVQ8Xkd/6GU9E/ZjvxsToqDDYI/EQXJyph53/T0tJSn0t4ynXLlTwnLZwalmJv191ueknQhJbvtjjUQM1jMyaxZNyu54qANkuQl0+OUZ6pfUj11yuOd41Cq35/i5T1mcwnJjrrnmJWiTiPy1ml8ov4xPfmMs87WZVDYuryyOnVsyhrU/7JpXF+F1IxsM+fk13/PkDYX77VO43OuBwBg/lYkoEPenIXjtuWtOe20V8r1179NLrnkNnn++V/YpQAAYN7SY2E+nQ29Cf+Jp5SflIKzrntkzOvQT0q+TrQhDISY3D3j0uz4jEa3t06OO1OTSiUp+s88JclPFiQxnBR/rTONKb9Psomc7Ah2m9whuURW9sUFHqrKqrfbjkrIcNIe3x4zPTZSOeZYWgqTef+8k+NSng7WlaRUKewcnMBPZB/LROtL0hJeBi2DUyeJ3A77fINo8wjrvLtb+s1yAMBCLXtAh7w5WCk6Guztb3+9SZIMAACWhgluZAftNBx9DHod/4LMHLYbhDSYMis50alS0ak4CxWZDjU0aZeqw6LF6++uDX2UNJJipm3Z93X1mPwuxVJciaJTukaLlYBWLf+Y2cHK9v4UsRlvjScybWlI3NLWl5RxHfni1nPVNK6lZupr1ectAoD2tqwRFfLmYKXpqLBDh47I5CQjnAAAWApmtE56yp+G4zziU6P4I2T8bfypOUMLTgaTl92pglcEu9/pMWdEiD9aJC5I093tbZWoTH0KHnFJiEsTo2Y0T7DtnmG7IpZ/zLA84cMfzZLfnZJCWF/TMtb08BUN6th96TSm7GAlj88yMPUVBKUAACtiWQM65M1ZPNy2fH5OPPEEk0/nqqu+IrOzx+xSAACwWLqTw5LIjlaS9JrkvXFJe/1RLpUghB/4MKNnzLScgkwG87TM9J7WBEEbE3wxz1S3JIcTlelOHpOQWAuR3BbJtROMnKkbJAmDGX4AqT7/mG6OHXNMdzRSseQ/94452syJmrI5dWrqKyG9yzlcRuvLq9lwSlp1mQAAS27ZAjrkzVlc3LZ8/s488xTZufPNJp+O3v0KAAAsIs0vYxLk2qlAg1lJT/nJiqOSMm4SIdvtdIpT/5QdyZOUHblE5XbW+3rFe9mk6HuHZMy8Nwjw6J2VpvorU6tMQmJz0Kry9KREcrOxI4tMXiDJyqDZxz7ZpkmZG4xWqTlmNi1TNudNcoefJNisGxIZ8wvbeOpZdR13aRLoPTF1vJRq66s/9joDAJZKV1nHaS4xzZtz8cVflGIxxVQrtA0N6Giy5PHxrXYJAABrx4EnStJ3Fr3v1a7v8kflwI1vtK9at9D3AwCWzpKP0Dl+/AXy5iwBblu+cNomb7/9m3L//bN2CQAAAAAAnWHJAzqXXXaXyZlD3pzFxW3LF27duhPl1lvfadroc889b5cCAAAAAND+ljSgk83ul2eeOU7eHLStgYENcsUVbzRBHQAAAAAAOsWSBXQOHPiu7Nr1VbnttkvMnYWAdnX11X8izz//C7n22r+3SwAAAAAAaG9LkhRZ8+acffaN8qlP/am85z1n2qVYTDrlijtdLZ5nn/2xabP33fc+6et7rV0KAMDqRVLktUGTGi8USZEBoD0tSUBH72h16qknyfXXv80uAdrfnXcekiuvfFAee+xyOemkl9qlAACsTgR0AADobIse0NG8OXv2PC6PPPIBplpV0cS7L7zwon0lZprPkSM/s698OlLkxRd/ZV/52xw9Gt2m2m/8xokmwa+r+o5i69e/LBKkOOGEl5hbdiPqgx+8x9T53r0X2yUAAKxOBHQAAOhsixrQ0bw5b3nLXikWU9LTc7Jd2rmCAIwGWdx/v//9571O/7+bYIxOL9NHdbBGn1ffOUlHLblBLn2uy1waZNFgS0CDMOvX/7p95fon7/F75tnx4/9myhDQgJCW1aVl1UBFoJXy+WV4mQkarVv3H+XVr/a3C8qqwaPVEiDSeunvz8nHP56Q97//LLsUAIDVh4AOAACdbdECOp2UN0eDHfrQgIb++/3v/9T8q3fkCpZp8CMIcNQGLl4hL3+5G+Q4cdlHwOzatUt27txpXy2O6qBUMIIoCFrp85/+9Bfedj8122k9uf/q+7UOtN703LW+9Plv//YrwmXBo509+eQPJJncY0aZrYbAJAAAcZoJ6OQzu2Tftp0yntRX+yXT9YBkzRr1KsnN7pARuwvddlC2Snl8i79gEVT2eYpMDOyVyeHtMj2ySaR0rwz0FKXgbZOeCsqHpWCuQeWiR6UX93ovtaVoo6vP09HP2nzkPy9dgyJT5ffKon00l2KfC1Sa2C09k5tkdvoCaS007n+XyhJ+d82/bKvIcrWZRTxO/e+o+m1m0QI67ZQ3Z3b2WPgolX5kAg760ICDBm00oBAEGIKAgxts0IcbnGlHSxHQWQwaBHLrWp8HAbMgWKaPoJ61/jXw0939myZ4EjxW2g03HJCbbnrMBHU0OAcAwGozZ0BH/0jdt8n+Yen/MVnMOZ08E1R5WoZtUGc5Azp0zFdGp9d70+Vvw+DB8iGg06wlCejM+zyj122tBHQanudytZlFPI77HRU9t/ptZlF6qpo3Rzvv4+Nb7ZKlp8Ga+++fld27/69kMg/IO95xq/z+7/+N/NqvjZnRFZ/5zCMyM/NDE6x597t75Zpr3iL5/JCUyzvl29/OmGlhd9zxbhOA+u///U9keHiznHfeJjnjjPVtH8xpZ1p3WofnnrvR1KnW7XXXnW/qWoMjWvd6Db72tctMe3nf+/6TvO51vyH/9E9H5bOf/bqcf/4t5hrqtdTnH/7wfaZ93X33t+TQoSOR/EJL6Yor+kzA6aqrvmKXAACwlnidg9FjktthO76lY1KUV8lw0ungdV8gY+mjMpl/2rxMju9cwo7+JhmZ3hnpYCZ6T7HPgOYsbRtFKPle7+/99gm8AKvZggM6mjdn166vym23XRLJv7JYdKrP9PRh06m/7LK7zLSuuKDNBz5wtinDT35ylQkaPPjgdhOs+djH/kje9a43yMDAhppEwZ3swgsvtM86k16LLVtOM9cmnd5igj56y/Cnnvqw/PznV5sA0Ic+1G9G7ugoq7/5m6IJ2v36r3/StIHt2+8wbeKhh56O5A9aTDfffKF84QtPmsAhAABrSumQTMomSQY/eXafLP1SCd4EtIMcBFn0l8WuzH7vmf5SvEsGJu6VTJe3TB8D93r/Pb9XBtzX5l36q+MuyXjbhuvMPqoF+3za/wUzK1JI7fX283nJeMszebuZR3/VjNuHvk/fH9JfVcNy2PfVlM8ud16b93V9XswhzTl5ZdBz1/NwyhEy29v9eo9KGey5Z5z1NccJ3rdbJswKfU/w3GOOX/3als3WWbAP99xNXXjHNXXuHnMeGtWr3ybudcoRlM2KnGPVuipmX+G2lXP2r4/fDoL1sdfB45fHbxv+c+991fvUOhx8ynvylAw6ZYocv6p9uev86+mci9vuY65Vw7Zj20i473Abvx1kMn6bjdR/KPrehtfZLePAfpmxi33125GKrRf3M2KfTzifLz2PSJ055x75HFati+eXL/wcRcoQ7Me5Hm7ZlDn34LrM8ZmM1MVu2R2tqPrHVO66TNz18syj7QXymb2SKvjfi9Wf9eC90bqs17aq2PoK2qk+om2g0X6ibcetEy1XzXdQvc+KJ1IHwfZe2XpSR72TLkpPg/bttqmw7JHrruy1NwWcqx1U1es+u9BjjuW9z6+T4Hwb1ZG77vMS7qreuUU+q3a5Trmarx/96OfljRuz5Vtv/YZdsjDf/va/lr/85X8qj419tXzRRV8o9/T8dXnduk+XBwb+trxjx73lXO7RcrH4nfLPf/7v9h1Ya/TaP/bY98o33/xYOZ2+v3zuuZOmjWg71Dbz53+eL99xxz+atrQYvva1fymfdtpflb/3vZ/YJQAArA7Fx2fts1qzuevKkn7EvrKmbimL/Hn4SE/Z5dZU2ltu3lMq5xK6zS1lf5NHyml9T+Kesjni7D3lRPh+u65q20SuZF5V77N2eXVZ/e2qy2Zo+YMy6EtvH8H+/HMLymDL7+7feV9kW3su4X5q6PlcV86FB3WPU1UvkXOPeZ/dzi23li2R8B7O66Dcbh0F+w7qxawLy9G86D6tBvXqH6fquMG2pu4q51hTz66YY0Suj3MM/3X8ubnv88tWOX6kbJHrVF22aFuMbhvf9sP26G47Z9uJO05QXtt2qq+FQ8+nsu+qckTEHafy2q2z6v3UrRf3PKv2V329IvVu6qROvbv7jLB1HpbDU9W2Gl3b6La2XsN9+a8jZa9aF75u2J5j6s15HVFVvrj9hNcqInodq4/hvw72W3XNq8oeUXX9/NfBto33Y44Ztp3otuaaRK5ntI4i9aDPwzrw3xs5T2ddRKOy15yze/yqa1td727ZgvZnX/v17O63cR1FPl9mXeV19Nzql2lBI3R0xMxb39oz7yTImnxWc5VceumX5Hd/97Nm1I3mLfnlL38lQ0N/YEbZ/OhHHzfTc3QEx8jIH0pf32uXZCQQOoNe+82bTzXTuXTKlk6jC9qIjtL6D//hJXLLLd8wbek1r/mMaVs6kufgwefsHlqjI7tGRs42bR0AgLXi8MzR2ilNZhrFTvOYSotkB/VXwuivqK5EboudcnGK9Ca818Nn+DkOzGifqMq2W2RH7lVSmDxU99fWat3JTZLIPu3/Eqojiwqny7a4uR7edumCt53Z8X7Zl61MIcvve0okvcmWYZOMjJ3unaDd55yqpqJFbJHxciVxdKl0zH/iSI8FuR/8eqo4Kqnd9td4rXubI2JDr1c/Mz8wiw/PiAyPecc2r73yTh6V9DadUuSfXzhlztZrdp/z6354vgvUoF6NRL/ssAdK7uiXhN22lH9aCum+sG66R/qc/VRxzl/Ps1Q0TyqcY3R77atpzvG1XuPZeg2vk98+gjYa23YC3jlmnbJJcovkEk/JvrBhNWg7pi076817o6Pk/Gsdzx0950+ZrCP2OP7Txu3Ir5fwcx0zLbLidBmzy/3rU/mMRuq9+wKZdqZq6fdQsyrlsG0rURlh6La7ZsR/JqvP16+LQMP2rO3AOWezzn86h/hjNv39WO9zYb8ng2tSPX22lrPthnUSVskc++ke2eFMcfyBzGgWe5f7HaR11OizUijKbvs80rbnVKfsTaj33dzwM6+ctte4jvTz5XyOzTr/aT1xZZp3QKfVvDma+2T//mfl2mv/3iRQ/s3f/Eu55JLb5PHHvy8XXvh7Jr+KTrfRqTY7d54rF110xqqaIrXY7rqLAINL8928/e2vNzl7dOqdtqXHHrvctC3Nz6OBHW1zmpfn05+eNtP43Dt6NXL11X9ikj1rmwcAAP4f1H5g56ikhuoPdW9Wf3flj/OWOuSq+wwZDv7wP3zc61Q5nYSILbIt+ENaO7jhH91+gGBpcvJEpxwMTdrFc9JA0FZJZx8I3xtMtagEsLQzcLL3+mTpN6+1w2Q7jaYD712bnsqxzfD94rEFX6ta9erV6vfKaJ+6wTzTWXfPr0vvoHZUZg7bDVyRqRj3StPVuCj8jqgfwLQPnRZTOC6H52g7JoCnUybCsvvTYoqleh1nh7Zl8erOrcsWRKYuDTU4Xs1xNkl3cJEatiO/XtzP7sJFp6aMFusF2Rozbcttd4ui9nzd76pG7dm0g8Q62WC3rQ3e1rMUdewx11yndVXq2kxjtYHips21n8gUtAPed4O/OE7Dz4oGdKdOj3wG604RW3Ixn/lGgaJGdWQ+X6+S3krDaBBYrm9eAZ1m8+boXY0mJv7BBHBe8YpPmVEOmg9FkxT/4z9+yDw0z42O8NG7HaF5Bw8etM9Qj7YpbVvaxrSt/fM/f0Quv/yN5q5bmmw5CPDoKDG981Y9eperW299p3zyk1+b90gfAAA6mZ8XoPaHjfn88RnH7eDGjWJpbJMkh/1RA/rLacNRC9v8kRV5DT44Iwu0A9tyZ6YZ+f1ep+R0mbIjm6bHWglWaVDHf195tl8SXmfRdGJMAMvrUOe9zoAJXmlAxXs98bRkg2CWCZzobeXt+4PHEt3xJr5eLTeIZDowPtN29Lbnbvm8R9xtnPO7i1IIt90hY9VDvJaU3/nW2+NHy6ojSRq3HdPhT/TLbOR9TY4uMJ1Er+7mFYHbL7tTRytlnu6rGRUXqjmOMwKqYTvy66Wp4FSTShMHzCiNoL72DNsVLTJta9GDl7Xn635XNWrPph2YAGDAD9TMbfHr2DDXvPK9FD5aTRjecD9Py8ToU5LIbbfLL5BGl3POz4ozQnRWR4kNVuUoWjYxn3kTtKmjUR2Zz1c0iN3KqLRAywEdTUCrI2u0kxx3e2m9+9Rf/MXfyTnn3GTuVPSVr/yzGSWhiYoJ4Cyu48ePt/R44YWlSR7cKdatO9GM/NJRZTp6R9uk3mWrUPi2SbSsD2272oar6QigXO4dpu3raB0AAFYz7Zy4f7D6o0IeqEmGqZ1Gd6rDfFWmEMxvn0H5BrPRXztreNulC0UZ9I7h/uqtAYnKFCu/IxIMqfc7Y3bqhMcMt29J0Fm2+21GdcJO27H2z007FEdlctS7FvZX4g29IpOTx5xglj9qJpyypcfWkUJ1EqouWJ16Ndy608CMHcHjX7MDlXM0v+bXn8IXdtC9uhnNmiXLxAYMRysj0UxCVJuQNLbtBGy9BFNFgpFGTY0uMIG7yvQVPzjYaHpfrSAQYAIl5lkMe5ywrZgpIv7Txu3Irxd3+o+pl4W2sTDw4X8XzIdpW3Xand/BrkzlMVOl/KdzsOeb2h9ea50OFWjYnrUdeMccDb4/vWM214Sr63iRvnPtqMawPN5+dWRUdcLrOTWxn/C/I6b9+k9jNfismB8UnMTAfvDHHfE0DzaYUvl8NXtNgs985Vo3/G9CwzrSz5e3q/C7xZ+C1aqWAzpxeXM0yKPTUbRDrLlLjh79ublN+A9/eKUZ2aD5Ttavf5ndGotlz549TT+uv/56RvVU0Tb5/vefJXv3XmzaquZp0rarbVjbsk4PPHLkZ3ZrMcEgvbW9ju4BAGA1M50T9xduk9tiq/TrnaW8P0b9xwMiU63kMqgv3X/cDrV/QLLpra3v0/zR7P1bPd2nhv8HtJvDw0i+V2Zzx+yw+L2S8v7Unw1+rba5S4JpJ/t6+70OYZMi771XdGhJU6MutL6nTnamujwgxdwFYX4OMyKmUAmeaAenUDg5ck7J8e2SKwZTQKrOqYZ2MhoEU+ZUp15V+mSZsecxmD1dpoJRQtXnOPiUpKcq+YZcfg4UOx1jyKtGzV2y6CMwHLYDPmjrRHOBTPVXpoNEzsNrO1PpYEqFd42H3XwaW2R8tl+KwVSRnqJIbnvsKKRampPG+cw1qJ9aNteKfe+Q9Jm8OPEjPfzjhNP7eo5Lv5PHo1E7qqmXYqM2Njc/t0xQl0/LtimvLiMjW5pU1baq253mKQmm7wx55++cbkPmfMNrvVdm+p1r3bA9++1Agms56n0s6n2JNGx7jb4fg4CTd4w5g2pVbWu+37sN92NzywTtat8mk3ut/kjI+p+V6nbWNXhMcnv86+kH73RdqyN2op+Rrn3rnNxRczD/vfAup73Wo973Xv23Nq5r8/mS4NwOeA2jMuq12XPr0hzJ9vmcdGrKjTc+avLd6FQrzYmjr++885Dp7GpSWk0ii6WnwZnNmzfbV3PbtWuX7Ny5077CXDTHjiZXvv32b5ogjt5CXdu2js7R0WdXX/3H804GDgBAOzjwREn6zqrXO9Rf4r3O6Z5mO5DzpYEEPzDUXCe3Ph0dMNq7fc5Oif7a2zPT1/r0AjQUV696TQZl69qqax2ZMbpOZpdoehsAuJoeoaO5Q0ZH82Y0w0MPPW1GMWzffoe88Y2vMblJbr75QoI5y6iVYM7SK3l/9HVJV5c+Mi1GR9uTtmWdHqht+81vfp0ZlaOBHG37+hnQ15oUHACA1Ul/XT3ZmWrR7mLurhTLnybRKM8O5mPt1ms0v5SdcrXoCXkBIF5TAR0dlaC5Q3QEjk650sCOjljQnDg7dvxnk5sEa5f+h0z2lEUHe02lszI4MLF0Q2CX2UknvVSuuKLP5Nz5+McTJhm4fgb+y3/pNZ8JvXsbAACrkk4lEZuIt52ZXBXRKUmxTE6GvZLq37rg0UBwrPF6NdOEgmklc05tA4DF1dSUq4su+qI8/rh/d5+xsaTJO4KVpbctv/DCC+2ruS3blKvShAz0zMhYebzOLUM7n04xvPLKB+Vf//Xf5F3v+n35n//zbXYNAACdo/GUKwAA0O7mHKFz+eVflnvu+Za8971nmhE5BHPaQ9smOO7ulnq3RSxNDIg/LavLZiz3X2fyecmE07Uq07fa9RdBzRelnwUdpfa//tejctVVD9k1AAAAAAAsj4YBnY985D656aaD5k5Vn/zkn5pEyEBDetuG3I7a0Tn5jPRMDstsuSzlqbRkRydERqZNtvPs4D7ZFkzX0lsX7CnLbC4h2eB+gm3ohBNeIjt3vln+9m8vlGuvfUTS6fvtGgAAAAAAll7dgM7VV39FbrjhUfnMZ/4/ede73mCXAo3l8yI7Yiawl0pFSY+N2Ns7jkt52j73pKf86VkbehOSyO0x89+7u+uN82kv//W//oH8t//2Jvnf//txMw0LAAAAAIDlEBvQufvub8lf/dV+ufjiM+QjH3mTXYp20kr+nOWiU6j2dVcCNdWKOnpnFfrLvzxPzjrrVPn8578hn/vcE3YpAAAAAABLJzago7dk/q3ferlMTGyzS9Bu2uu25X4wZ0j22Lsb5L22Ew3e6IibQmp3eEvzfMbPl1Mq2gUdTKdfPfzwkNxyy/9v7gDHna8AAAAAAEstNqCjuXKeeOIKc8tmYC75TJf0pApSSPXYpMejIsmqcTrJcZnNFWXQrO+S0d4dsmFiSLy3SXZwQDKZgXAfmYkJGRjM6goZqAoMtbNzz90op532Snn44WfsEgAAAAAAlkbsbct1hM51151vX6EdHDlyRO6880753ve+Z16/5jWvkQsuuEBe+9rXmtdzWbbblq9xmcwD8rrX/Yak01vsEgAA2hO3LQcAoLPFBnRSqS9LLvcO+wrt4K//+q/l+PHj4l6uV7ziFfJnf/Zn9lVj3/zmN+UNbyC59VL78z9/WLq7f0s+/OGEXQIAQHsioAMAQGeLDej87u9+Vp566sMmNwjaw4033ig//OEP5Ze//KV5rdOWXvKSl5igDtrHd7/7E9m8uU8uvfStdgkAAO2JgA4AAJ0tNqBzzjk3yQc+cLaMjPyhXYKV9rOf/UweeOAB+Zd/+Rfz+nd+53dk69atctJJJ5nXWHm33/5N2bXrq/KNb3zQLgEAoH0R0AEAoLPFBnT2739Wzj//FikWU9LTc7JdCqCeZ5/9sfT35+Tmmy+Ut761xy4FAKB9EdABAKCzxc6p2rLlNLnmmrfIH//xzfLkkz+wSwHEOXToiCSTe+TjH08QzAEAAAAALIu6SXJ0utX4+FYT1PnCF560SwG47rzzkAnmfPSj53BnKwAAAADAsomdcuXS6VeXXXaX9PW91ozaOfVUcrYAx4+/IFdd9RV5+OFnzDQrHdUGAEAnYcoVAACdbc7bWGlH9bHHLpeNG9fJ2WffKH/xF38nL7zwol0LrC3a9rPZ/XL66dfJunUnms8GwRwAAAAAwHJr6r7kJ554goyNJeWRRz4gMzM/NLc137XrYTly5Gd2C2B10xE5n/70tGn7X/3qv5jPwqc+9afmswEAAAAAwHJrKqAT0FE6t976Tnnwwe3yzDP/ajq3H/zgPXLgwHftFsDqom1b27i29ccf/77cd9/75I473s3d3wAAAAAAK2rOHDqN6K2aJycPyk03PSbr179M3ve+/yTvec+Z5NlBR9ORZ7ff/k3Trp977nkZGTlbhoY2m4AmAACrBTl0AADobAsK6Lg0Oewtt3zDdIQ1gbIGd97+9tebQA/Q7nRK1d13f0u++MUZmZ4+bNqutmFuQw4AWK0I6AAA0NkWLaAT0KSx998/K1/60j+aWzqfeeYpXqe4W972ttfL5s2nygkntDTLC1gyOp1K2+oDD5TkySd/IOeeu1He/e5eueiiM8iNAwBY9QjoAADQ2RY9oON68cVfmZE799zzlBn9oNNXBgY2SCLxO+ZfvTsQHWcsBw00Hjz4nGmPmtRYb8evd6nSETgXXvh7JphDWwQArCUEdAAA6GxLGtCppgEdnc5SKHzbdKwPHTpipmdpcOfNb36d+fekk15qtwbm7/nnf2Ha2te//qzX1vwAzhlnrDdBxKCtnXbaK+3WAACsPQR0AADobMsa0KkWdLqDERP60E62Ts36gz94tflXAz4kWUYjmsRY244GCL/+9e+Y6VPPPHPctB8defOmN/22+VdH5AAAAB8BHQAAOtuKBnSq6RQt7ZTr1JhHH/2e6ZhrnhPNu6MjK3SEhXbONS+P3jaafDxrj7YPbRd6C3FtJ9o+dDqVBm/cQKC2EdoHAAD1EdABAKCztVVApx69Pbp23B9//DmvE/9906GfnT1mgjrBo7v7NyOv6cx3Lr22waNU+lHkdTCCSwM2b3zja8LgHgAAaA0BHQAAOltHBHTi6Gget6Nf3fF3gzuve91vmGlbGgzQhz4nV8/K0Gl2mktJg3T60Off+c5PItdu48Z15rrpv9WBOhIXAwCwOAjoAADQ2To2oNNIdbBHAwbVQQRVHeR59atfHi7TfzV4oEEFzE1z1ujUJ63b4PH97//U/Kvr9F+te702Wrdar/qvPjTg5gZtGF0FAMDSI6ADAEBnW5UBnWboSJEguBMEHIIARPDQAIWu08COBh40qa4+9LmO8DnttFfIy1/+Ulm//mXm4Y76Cd7j0tftMsIkCL64gnMOaB1pwmF9/PSnWl8/Meu13oJ1wXs0CKbnFgTD9BEEyNzgDYmJAQBoDwR0AADobGs2oNMKN7ARBII0iPGd72hg498jgY2APp8rYKIBIA0EuTQg4o5QCYJIjRw//oJ5BHQUjJbRFZQ9oMfQY7k04OIGnKKBrP8or351EMh6ZVj26kAWAADoDAR0AADobAR0VlAQKHIF05IC1cGaONVBn7hgDYEXAADgIqADAEBnI6ADAACwBhHQAQCgs5F9FgAAAAAAoMMQ0AEAAAAAAOgwBHQAAAAAAAA6DAEdAAAAAACADkNABwAAAAAAoMMQ0AEAAAAAAOgwBHQAAAAAAAA6DAEdAAAAAACADkNABwAAAAAAoMMQ0AEAAAAAAOgwBHQAAAAAAAA6DAEdAAAAAACADkNABwAAAAAAoMMQ0AEAAAAAAOgwBHQAAAAAAAA6DAEdAAAAAACADkNABwAAAAAAoMMQ0AEAAAAAAOgwBHQAAAAAAAA6DAEdAAAAAACAjiLy/wCM9TSyCh4OYAAAAABJRU5ErkJggg==" unselectable="on"/></p>

(Answered) : In manufacturing, there are four key features related to production: speed or timing, simplicity, and flexibility. Information t(Answered) : In manufacturing, there are four key features related to production: speed or timing, simplicity, and flexibility. Information t

In manufacturing, there are four key features related to production: speed or timing, simplicity, and flexibility. Information technology is used in areas such as marketing for frequently updating buyer databases,